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

Drw Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Drw? The Drw Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Drw Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Drw.</li>
<li>Practice real Drw Data 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 Data Analyst interview.


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

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

Overview

Drw Data 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 Data Analyst Interview Process

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

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

Drw Data 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 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. 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: Building systems with a constant focus on testing, reliability, scalability, and maintainability. Collaborating thoughtfully by working in the open with your teammates and end users. Working on legacy code as well as green field development. Strong desire to consistently learn by leveraging your time to understand the business needs clearly. Learning and promoting new technologies with a focus on best practices. Desirable Experience: We are looking for strong developers of any stripe, but familiarity with the below will give candidates a leg up in working on our systems. Multiple years of server-side development. A solid understanding of trading fundamentals - prior experience in Physical Energy Trading, Crypto Trading or other non-traditional financial assets a plus. A good understanding of functional paradigms and type theory. Confident JVM knowledge. Modern Java, Scala and JavaScript knowledge. Experience with Airflow or other Python-based workflow orchestration tools. Proficiency in domain driven design and domain modeling. Exposure to Kubernetes, Docker, Linux, & git. Working knowledge of SQL & Spark. Data Lakehouse implementation experience or working knowledge of underlying concepts. Experience in a rigorous and results oriented software engineering team. 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]

Location: Chicago; however, we will consider remote candidates 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. 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. 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. 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>Designing, modeling, and programming in a variety languages and technologies. </li><li>Working on legacy code as well as green field development.</li><li>Initiative driving projects to completion.</li><li>Learning and promoting new technologies with a focus on best practices.</li><li>Providing on-call support as needed.</li><li>Sometimes working alongside other developers on the same task. </li></ul> Desirable Experience: We are looking for strong developers of any stripe, but familiarity with the below will give candidates a leg up in working on our systems. <ul><li>Multiple years of server-side development.</li><li>A solid understanding of micro-service architectures and CAP theorem.</li><li>A good understanding of functional paradigms and type theory.</li><li>Confident JVM knowledge.</li><li>Modern Java, Ruby, or Clojure 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, Kafka, RabbitMQ, or git.</li><li>Working knowledge of SQL, HTML, CSS, and JavaScript.</li><li>Knowledge of financial concepts, exchange trading, or physical energy trading. </li></ul> The annual base salary range for this position is $200,000 to $275,000, depending on the candidate's experience, qualifications, and relevant skill set. Base salary is only a portion of total compensation, which may also include variable compensation and/or benefits. 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-GV1

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>

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: We are looking for strong developers of any stripe, but familiarity with the below will give candidates a leg up in working on our systems. <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> 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 Data Analyst Interview Guide

Overview

Drw Data Analyst Salary

Drw Data Analyst Interview Process

Drw Data Analyst Interview Questions

Drw Data Analyst Jobs