The Drw Business Analyst interview guide, interview questions, salary data, and interview experiences.

Drw Business Analyst Interview Guide

Getting ready for an Business Analyst interview at Drw? The Drw Business Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Drw Business Analyst roles.</li>
<li>Gain insights into the Business Analyst interview process at Drw.</li>
<li>Practice real Drw Business Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Drw Business Analyst interview.


Getting ready for an Business Analyst interview at Drw? The Drw Business Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Drw Business Analyst roles.
- Gain insights into the Business Analyst interview process at Drw.
- Practice real Drw Business Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Drw Business Analyst interview.
        

Overview

Drw Business Analyst Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Drw Business Analyst Interview Process

You’re given two dataframes. One contains information about addresses and the other contains relationships between various cities and states:

Example:

<code>df_addresses</code>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, 33605</td>
</tr>
</tbody>
</table>
<code>df_cities</code>

<table>
<thead>
<tr>
<th>city</th>
<th>state</th>
</tr>
</thead>

<tbody>
<tr>
<td>Salt Lake City</td>
<td>Utah</td>
</tr>

<tr>
<td>Kansas City</td>
<td>Missouri</td>
</tr>

<tr>
<td>Detroit</td>
<td>Michigan</td>
</tr>

<tr>
<td>Tampa</td>
<td>Florida</td>
</tr>

<tr>
<td>San Francisco</td>
<td>California</td>
</tr>
</tbody>
</table>
Write a function <code>complete_address</code> to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

addresses = {&#34;address&#34;: [&#34;4860 Sunset Boulevard, San Francisco, 94105&#34;, &#34;3055 Paradise Lane, Salt Lake City, 84103&#34;, &#34;682 Main Street, Detroit, 48204&#34;, &#34;9001 Cascade Road, Kansas City, 64102&#34;, &#34;5853 Leon Street, Tampa, 33605&#34;]}

cities = {&#34;city&#34;: [&#34;Salt Lake City&#34;, &#34;Kansas City&#34;, &#34;Detroit&#34;, &#34;Tampa&#34;, &#34;San Francisco&#34;], &#34;state&#34;: [&#34;Utah&#34;, &#34;Missouri&#34;, &#34;Michigan&#34;, &#34;Florida&#34;, &#34;California&#34;]}

df_addresses = pd.DataFrame(addresses)
df_cities = pd.DataFrame(cities)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def complete_address(df_addresses,df_cities) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, California, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, Utah, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, Michigan, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, Missouri, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, Florida, 33605</td>
</tr>
</tbody>
</table>

Write a function to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Complete Addresses

You’re given two dataframes: <code>transactions</code> and <code>products</code>.

The transactions dataframe contains transaction ids, product ids, and the total amount of each product sold.

The products dataframe contains product ids and prices.

Write a function to return a dataframe containing every transaction with a total value of over $100. Include the total value of the transaction as a new column in the dataframe.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

transactions = {&#34;transaction_id&#34; : [1, 2, 3, 4, 5], &#34;product_id&#34; : [101, 102, 103, 104, 105], &#34;amount&#34; : [3, 5, 8, 3, 2]}

products = {&#34;product_id&#34; : [101, 102, 103, 104, 105], &#34;price&#34; : [20.00, 21.00, 15.00, 16.00, 52.00]}

df_transactions = pd.DataFrame(transactions)

df_products = pd.DataFrame(products)
</code></pre>

Output:

<table>
<thead>
<tr>
<th>transaction_id</th>
<th>product_id</th>
<th>amount</th>
<th>total_value</th>
</tr>
</thead>

<tbody>
<tr>
<td>2</td>
<td>102</td>
<td>5</td>
<td>105.00</td>
</tr>

<tr>
<td>3</td>
<td>103</td>
<td>8</td>
<td>120.00</td>
</tr>

<tr>
<td>5</td>
<td>105</td>
<td>2</td>
<td>104.00</td>
</tr>
</tbody>
</table>

Write a function to return a dataframe containing every transaction with a total value of over $100.

Over 100 Dollars

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Drw Business Analyst Interview Questions

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Senior Data Engineer on our Unified Platform team, you will play an integral role in designing and building an innovative data platform used by Traders, Quantitative Researchers, and Back-Office personnel to analyze financial markets, determine trading opportunities, establish new strategies, and ensure smooth back-office processes. Technical requirements summary: <ul><li>Have experience designing and building data-intensive distributed systems</li><li>Have experience working within the modern batch and streaming data ecosystems</li><li>An expert in Java/Scala or Python and have experience with SQL and Bash</li><li>Able to own, organize, and steer team projects</li><li>Be able to contribute to project management and project reporting</li><li>Be a leader/mentor to junior members of the team concerning engineering best-practices and code-quality</li></ul> What you will do in this role: <ul><li>Help design, build, and manage DRW's Unified Data Platform and support its users.</li><li>Work closely with Traders and Researchers to determine appropriate data sources and implement processes to onboard and manage new data sources for analysis to unlock future trading opportunities.</li><li>Design and develop data solutions to help discover, purchase, organize, track usage, manage rights, and control quality of data sets to address the needs of various DRW trading teams and strategies.</li><li>Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes.</li></ul> What you will need in this role: <ul><li>7+ years of experience working with modern data technologies and/or building data-intensive distributed systems</li><li>Expert level skills in Java/Scala or Python with a proven ability to output high-quality, maintainable, code</li><li>Strong familiarity with SQL and Bash</li><li>Experience leveraging and building cloud-native technologies for scalable data processing.</li><li>Prior experience with both batch and streaming systems and an understanding of the limitations those paradigms impose</li><li>Experience with an array of data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)</li><li>Experience with an array of data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.)</li><li>Experience with an array of data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.)</li><li>Experience managing complex data ETL Pipelines (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.)</li><li>Prior experience dealing with schema governance and schema evolution</li><li>Prior experience developing data quality control processes to detect data gaps or inaccuracies</li><li>A desire to mentor less experienced team-members and champion both engineering best-practices and high code-quality standards.</li><li>Strong technical problem-solving skills</li><li>Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment</li></ul> For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. #LI-SK1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that its not just what we do that mattersit's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The UP - Analytics - Middle Office team is looking for an outstanding Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team builds and maintains services which: calculate analytic measures across many asset classes predict theoretical market outcomes based on user-defined what-if scenarios return analytics for any time horizon We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. While previous experience in the trading and finance industry is beneficial, we're looking for talented software engineers with or without industry-specific expertise. Responsibilities: Designing, developing and maintaining greenfield and legacy API, service, and application platforms Testing at the unit, functional, and integration level Code in multiple languages, paradigms, and platforms Collaborating with various business, development, IT, and trading support teams Provide on-call support as part of our team-wide rotation Keep open communication with our users for support, testing, and ensuring understanding of their needs Qualifications: Experience using applied mathematics (linear algebra, optimization, numerical methods) Strong understanding of statistics and probabilities Fluent in functional, object-oriented, and imperative programming languages Competent in distributed version control, CI/CD, Docker, and Kubernetes Familiarity with: Elixir, or more than one of the following: Elm, Erlang, Haskell, Scala, Kotlin, Clojure, F# Python, or more than one of the following languages: JavaScript, TypeScript, Ruby, Python, Java, C# Data structures and design/analysis of algorithms Exchange-traded financial assets, statistics, or financial engineering Personal traits: Possesses the ability to learn, adapt and grow Demonstrates personal humility, respect for others, and trust in their teammates Capable of independently driving projects to completion but prefers collaborating with teammates Excellent problem-solving and debugging skills, but has better listening and communication skills J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that its not just what we do that mattersit's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for outstanding Software Engineers with an expertise in low latency and high availability systems. In this role, you will be tasked with implementing, developing, maintaining and integrating with existing trading platforms. Responsibilities: Spearhead the design and implementation of a new trading platform while leveraging existing systems within DRW Collaborate widely with trading desks and supporting DRW business units Maintain the platform to ensure maximum uptime Provide on-call support as needed To qualify for this role, you must have: Built complex systems in modern Python that are maintainable and safely refactorable Developed high availability distributed systems in Python, C++, or Rust with tight resource/latency constraints Designed concurrent and parallel applications with a strong understanding of hardware/software interaction A good understanding of computer networking, related technologies, and their tradeoffs Experience with data analysis and event processing Proficiency in containerization environments - particularly Docker and Kubernetes Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain, preferably equities Strong verbal and written communication skills Strong internal motivation and a continual desire to learn Bonus points if you have: Collaborated with Research teams and Quants Working knowledge of high-level machine learning concepts and lifecycle Comfort working "under the hood" and are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for outstanding Software Engineers with an expertise in low latency and high availability systems. In this role, you will be tasked with implementing, developing, maintaining and integrating with existing trading platforms. Responsibilities: Spearhead the design and implementation of a new trading platform while leveraging existing systems within DRW Collaborate widely with trading desks and supporting DRW business units Maintain the platform to ensure maximum uptime Provide on-call support as needed To qualify for this role, you must have: Built complex systems in modern Python that are maintainable and safely refactorable Developed high availability distributed systems in Python, C++, or Rust with tight resource/latency constraints Designed concurrent and parallel applications with a strong understanding of hardware/software interaction A good understanding of computer networking, related technologies, and their tradeoffs Experience with data analysis and event processing Proficiency in containerization environments - particularly Docker and Kubernetes Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain, preferably equities Strong verbal and written communication skills Strong internal motivation and a continual desire to learn Bonus points if you have: Collaborated with Research teams and Quants Working knowledge of high-level machine learning concepts and lifecycle Comfort working "under the hood" and are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.As a Senior Data Engineer on our Unified Platform team, you will play an integral role in designing and building an innovative data platform used by Traders, Quantitative Researchers, and Back-Office personnel to analyze financial markets, determine trading opportunities, establish new strategies, and ensure smooth back-office processes.Technical requirements summary:<ul><li>Experience designing and building data-intensive distributed systems</li><li>Experience working within modern batch and streaming data ecosystems</li><li>Expert in Java/Scala or Python with experience in SQL and Bash</li><li>Able to own, organize, and steer team projects</li><li>Contribute to project management and project reporting</li><li>Lead/mentor junior members of the team concerning engineering best-practices and code-quality</li></ul>What you will do in this role:<ul><li>Help design, build, and manage DRW's Unified Data Platform and support its users.</li><li>Work closely with Traders and Researchers to determine appropriate data sources and implement processes to onboard and manage new data sources for analysis to unlock future trading opportunities.</li><li>Design and develop data solutions to help discover, purchase, organize, track usage, manage rights, and control quality of data sets to address the needs of various DRW trading teams and strategies.</li><li>Monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes.</li></ul>What you will need in this role:<ul><li>7+ years of experience working with modern data technologies and/or building data-intensive distributed systems</li><li>Expert level skills in Java/Scala or Python with a proven ability to output high-quality, maintainable code</li><li>Strong familiarity with SQL and Bash</li><li>Experience leveraging and building cloud-native technologies for scalable data processing</li><li>Prior experience with both batch and streaming systems and an understanding of the limitations those paradigms impose</li><li>Experience with an array of data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)</li><li>Experience with an array of data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.)</li><li>Experience with an array of data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.)</li><li>Experience managing complex data ETL Pipelines (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.)</li><li>Prior experience dealing with schema governance and schema evolution</li><li>Prior experience developing data quality control processes to detect data gaps or inaccuracies</li><li>A desire to mentor less experienced team members and champion both engineering best-practices and high code-quality standards</li><li>Strong technical problem-solving skills</li><li>Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment</li></ul>
#J-18808-Ljbffr

DRW  is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW  is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The UP - Analytics - Middle Office team is looking for an outstanding Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team builds and maintains services which:

calculate analytic measures across many asset classes

predict theoretical market outcomes based on user-defined what-if scenarios

return analytics for any time horizon

We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. While previous experience in the trading and finance industry is beneficial, we're looking for talented software engineers with or without industry-specific expertise.

Responsibilities:

Designing, developing and maintaining greenfield and legacy API, service, and application platforms

Testing at the unit, functional, and integration level

Code in multiple languages, paradigms, and platforms

Collaborating with various business, development, IT, and trading support teams

Provide on-call support as part of our team-wide rotation

Keep open communication with our users for support, testing, and ensuring understanding of their needs

Qualifications:

Experience using applied mathematics (linear algebra, optimization, numerical methods)

Strong understanding of statistics and probabilities

Fluent in functional, object-oriented, and imperative programming languages

Competent in distributed version control, CI/CD, Docker, and Kubernetes

Familiarity with:

Elixir, or more than one of the following: Elm, Erlang, Haskell, Scala, Kotlin, Clojure, F#

Python, or more than one of the following languages: JavaScript, TypeScript, Ruby, Python, Java, C#

Data structures and design/analysis of algorithms

Exchange-traded financial assets, statistics, or financial engineering

Personal traits:

Possesses the ability to learn, adapt and grow

Demonstrates personal humility, respect for others, and trust in their teammates

Capable of independently driving projects to completion but prefers collaborating with teammates

Excellent problem-solving and debugging skills, but has better listening and communication skills

#J-18808-Ljbffr

DRW  is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
Unified Platform (UP) is seeking a  Software Engineer  to join their team. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures.
UP teams are segmented into multiple areas including:
Platform Engineering  Teams within platform engineering provide cross-cutting capabilities that enable other teams to focus on domain- or business-specific needs by streamlining and standardizing technical approaches. For example, one of these teams provides data mapping tools, access management, and usage tracking capabilities for development teams.
Domain Engineering  Teams within domain engineering own critical capabilities that extend beyond a single desk or business area, building services and data solutions to optimize for a broad array of use cases. For example, these teams work on problems like managing and enhancing DRW’s instrument and organizational reference data models for seamless interoperability across the firm; handling real-time message flow and integrations with third-party trades and orders feeds; or providing trading desks and business units with current, historical, and real-time streaming portfolio views.
Expectations:
Building systems with a constant focus on testing, reliability, scalability, and maintainability.
Designing, modeling, and programming in a variety of languages and technologies.
Working on legacy code as well as green field development.
Initiative driving projects to completion.
Learning and promoting new technologies with a focus on best practices.
Providing on-call support as needed.
Sometimes working alongside other developers on the same task.
Desirable Experience:
2-4 years of server-side development.
A solid understanding of micro-service architectures and CAP theorem.
A good understanding of functional paradigms and type theory.
Confident JVM knowledge.
Modern Java, Ruby, or Clojure knowledge.
Experience with Airflow or other Python-based workflow orchestration tools.
Proficiency in domain-driven design and domain modeling.
Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git.
Working knowledge of SQL, HTML, CSS, and JavaScript.

#J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW is looking for outstanding Software Engineers with an expertise in low latency and high availability systems. In this role, you will be tasked with implementing, developing, maintaining and integrating with existing trading platforms.
Responsibilities:
<ul>
<li>Spearhead the design and implementation of a new trading platform while leveraging existing systems within DRW</li>
<li>Collaborate widely with trading desks and supporting DRW business units</li>
<li>Maintain the platform to ensure maximum uptime</li>
<li>Provide on-call support as needed</li>
</ul>
To qualify for this role, you must have:
<ul>
<li>Built complex systems in modern Python that are maintainable and safely refactorable</li>
<li>Developed high availability distributed systems in Python, C++, or Rust with tight resource/latency constraints</li>
<li>Designed concurrent and parallel applications with a strong understanding of hardware/software interaction</li>
<li>A good understanding of computer networking, related technologies, and their tradeoffs</li>
<li>Experience with data analysis and event processing</li>
<li>Proficiency in containerization environments - particularly Docker and Kubernetes</li>
<li>Practical knowledge of fundamental statistics and numerical recipes</li>
<li>Experience writing software for the trading domain, preferably equities</li>
<li>Strong verbal and written communication skills</li>
<li>Strong internal motivation and a continual desire to learn</li>
</ul>
Bonus points if you have:
<ul>
<li>Collaborated with Research teams and Quants</li>
<li>Working knowledge of high-level machine learning concepts and lifecycle</li>
<li>Comfort working "under the hood" and are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting</li>
</ul>
#J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.The UP - Pricing and Derived Data team is looking for an outstanding Software Engineer with diverse technical and interpersonal skills to join us in the next stage of our development. Significantly expanding our technical capabilities, we are positioning ourselves for even greater impact across the firm.We're responsible for building foundational APIs and data services to price all products—and related products—that the firm may trade, using market and derived data. We work particularly closely with the UP Risk and UP Middle Office Analytics engineering teams to deliver real-time Pricing, Profit-and-Loss and Risk monitoring systems. These tools serve critical functions, for example allowing our users to ensure responsible allocation of capital across the firm. Our systems are used across the organization by Trading Desk leads, Global Risk Management, and Senior Leadership.We collect, transform, aggregate, and disseminate pricing and related derived data, such as:<ul><li>Commodity Prices and Yield Curves</li><li>Mark-to-market and Mark-to-model settlement prices</li><li>Option sensitivities ("greeks") and fixed-income sensitivities like DV01s and BPVs</li></ul>While previous experience in the trading and finance industry is beneficial, we're looking for talented software engineers with or without industry-specific expertise. Our team has embraced the BEAM in building the core of our real-time pricing, analytic, and reporting systems. We make extensive use of the OTP and wider Elixir ecosystem, with applications leveraging Ecto, Broadway, LiveView, and Nx.Responsibilities:<ul><li>Act as the primary developer, independently leading end-to-end delivery of complex features.</li><li>Design, develop, and maintain greenfield and existing API and application services. The overwhelming majority of our systems are written in Elixir, but where necessary, we use small amounts of Python and Java where vendor SDKs require it.</li><li>Design, develop, and maintain batch and real-time streaming data workloads.</li><li>Provide on-call support as part of our team-wide rotation. Our on-call rotation is split across US and UK time zones, ensuring coverage while keeping outside-hours disruption minimal.</li><li>Contribute to the development of the team by advancing design and programming best practices, and providing mentorship and collaboration with other team members.</li></ul>Required Qualifications:<ul><li>Experience with — and enthusiasm for! — working with Elixir and the BEAM.</li><li>Experience working on distributed systems as part of a wider team.</li><li>Fluency in functional, object-oriented, and procedural programming paradigms.</li><li>Competency in using Git, CI/CD platforms, Docker, and Kubernetes.</li></ul>Familiarity With:<ul><li>More than one of: Ruby, JavaScript, Python</li><li>One of: Java, C#, C/C++ - PostgreSQL, the database and the query language</li><li>Kafka/RabbitMQ or similar event-based platforms</li><li>Data structures and design/analysis of algorithms</li><li>Analysis of concurrency and parallelism for speed/space performance trade-offs</li></ul>Personal Traits:<ul><li>Possess the ability and desire to learn, adapt, and grow.</li><li>Demonstrate personal humility, respect for others, and trust in your teammates.</li><li>Capable of independently driving projects to completion but prefer collaborating with teammates.</li><li>Excellent problem-solving and debugging skills, with even better listening and communication skills.</li><li>Strong attention to detail, with a track record of leading and driving projects to completion.</li></ul>Not Required, But a Bonus: While it's not essential, having knowledge in exchange-traded or over-the-counter financial assets can certainly be beneficial. Additionally, familiarity with subjects like statistics, probability, linear algebra, or stochastic calculus could enhance your understanding and might open up more opportunities for you. We understand that everyone comes from different backgrounds, and we're here to support you on your journey.Position on Remote Work: The Pricing and Derived Data team operates across multiple time zones across the USA and the UK. To ensure appropriate coverage, we're looking for someone to join us in our Chicago Headquarters, to be in-office at least three days per week. The successful candidate will report to the team lead, who is based in our London office.
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DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.
UP - Compliance (UP - CMP) is composed of two sub-teams. The teams represent the primary functions in Compliance of Regulatory Reporting and Surveillance. Further, there are two streams, which represent the core work supporting both team's data, and manage day to day ad hoc urgent inquiry and audit requests. The compliance teams and streams work closely with the Compliance Officers to deliver systems to meet the firm’s regulatory obligations.
UP - CMP work does not permit a simplistic division of duties across software processes or software engineering specialties, which might be applicable in less dynamic or complex spaces. For this level of dynamism, it is crucial that our Software Engineers work closely with stakeholders and become intimately familiar with the data, definitions and interpretations of a given compliance vertical.
Therefore, this role offers a particularly strong opportunity for a Software Engineer interested in opportunities for consistent learning, technical growth, and working with large scale data sets across numerous asset classes, trading venues and regions, globally. We are passionate about finding the best team and role for each candidate through the interview process, as we learn more about each person's current skills and long-term development goals.
Expectations:
<ul>
<li>Building systems with a constant focus on testing, reliability, scalability, and maintainability.</li>
<li>Collaborating thoughtfully by working in the open with your teammates and end users.</li>
<li>Working on legacy code as well as green field development.</li>
<li>Strong desire to consistently learn by leveraging your time to understand the business needs clearly.</li>
<li>Learning and promoting new technologies with a focus on best practices.</li>
</ul>
Desirable Experience:
<ul>
<li>Multiple years of server-side development.</li>
<li>A solid understanding of trading fundamentals – prior experience in Physical Energy Trading, Crypto Trading or other non-traditional financial assets a plus.</li>
<li>A good understanding of functional paradigms and type theory.</li>
<li>Confident JVM knowledge.</li>
<li>Modern Java, Scala and JavaScript knowledge.</li>
<li>Experience with Airflow or other Python-based workflow orchestration tools.</li>
<li>Proficiency in domain driven design and domain modeling.</li>
<li>Exposure to Kubernetes, Docker, Linux, & git.</li>
<li>Working knowledge of SQL & Spark.</li>
<li>Data Lakehouse implementation experience or working knowledge of underlying concepts.</li>
<li>Experience in a rigorous and results oriented software engineering team.</li>
</ul>
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