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Intellibus Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

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

A/B Testing & Experimentation

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. We are seeking a highly skilled and experienced Data Mapping/Business Analyst to join our team. The successful candidate will play a critical role in major data migration, conversion, and integration projects, leveraging deep knowledge of ALIP (Admin Server, Life Insurance Platform), ACORD standards, and the Life Insurance domain. This role requires exceptional analytical skills, proficiency in data modeling and mapping, and the ability to translate complex business requirements into detailed technical specifications. We are looking for a Business Analyst who can, but not limited to, the following:<ul><li>Analyze, document, and manage data mapping requirements for system conversions, integrations, and upgrades involving the ALIP platform.</li><li>Analyze and map ACORD XMLs, JSON, flat files, and legacy data into target logical models.</li><li>Define and document source-to-target data mappings for various data elements, including policy, product, party, claims, and financial data.</li><li>Develop data transformation rules and logic for complex data elements.</li><li>Demonstrate strong working knowledge of the ALIP platform's data model and functionality for various life and annuity products.</li><li>Apply expertise in ACORD standards (e.g., ACORD XML, ACORD Life standards) to facilitate effective data exchange and interoperability.</li><li>Conduct gap analysis between ACORD standards, source data, and target BRx models (Business Rules/Requirements models).</li><li>Ensure all data mapping and integration solutions adhere to industry best practices and ACORD messaging specifications.</li><li>Elicit, analyze, and document business requirements from stakeholders across various departments (Actuarial, Operations, IT, etc.) for life insurance modernization initiatives.</li><li>Translate high-level business needs into detailed functional and non-functional specifications, including use cases and process flows.</li><li>Serve as the subject matter expert (SME) for life insurance products, business processes, and related data structures.</li><li>Validate that implemented solutions meet the original business requirements through rigorous testing and review.</li><li>Collaborate with data architects, developers, and testers to ensure the accuracy and integrity of data transformations.</li><li>Facilitate meetings and workshops with technical and business teams to resolve data and business process conflicts.</li><li>Create and maintain essential project documentation, including Business Requirements Documents (BRD), Functional Specifications Documents (FSD), and Data Dictionaries.</li></ul> Required Qualifications<ul><li>10-12+ years of experience as a Data Analyst, Business Analyst, or similar role, preferably within the Life and Annuity Insurance industry.</li><li>Mandatory hands-on experience with the ALIP platform data structures and functionality.</li><li>Proven expertise in ACORD standards and models, specifically related to Life Insurance and Annuities.</li><li>Demonstrated proficiency in data mapping and developing detailed transformation logic across various data formats (XML, JSON, flat files).</li><li>Strong SQL skills for data querying, analysis, and validation.</li><li>Solid understanding of the end-to-end life insurance business lifecycle, including new business, underwriting, policy administration, billing, and claims.</li><li>Excellent communication, presentation, and interpersonal skills.</li></ul> Our Process<ul><li>Schedule a 15 min Video Call with someone from our Team</li><li>1 Proctored GQ Tests (< 2 hours)</li><li>Slideware (Presentation Deck)</li><li>30-45 min Final/tech Video Interview</li><li>Receive Job Offer</li></ul> If you are interested in reaching out to us, please apply and our team will contact you within the hour.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps that support the backbone of the Financial Trading Industry.Are you a data enthusiast with a natural ability for analytics? We’re looking forward skilled Data/Analytics Engineers to fill multiple roles for our exciting new client. This is your chance to shine, demonstrating your dedication and commitment in a role that promises both challenge and reward.What We Offer:A dynamic environment where your skills will make a direct impact. The opportunity to work with cutting-edge technologies and innovative projects. A collaborative team that values your passion and focus.We are looking for Engineers who can  <ul><li>Design, develop, and maintain data pipelines to ingest, transform, and load data from various sources into Snowflake.</li><li>Implement ETL (Extract, Transform, Load) processes using Snowflake's features such as Snowpipe, Streams, and Tasks.</li><li>Design and implement efficient data models and schemas within Snowflake to support reporting, analytics, and business intelligence needs.</li><li>Optimize data warehouse performance and scalability using Snowflake features like clustering, partitioning, and materialized views.</li><li>Integrate Snowflake with external systems and data sources, including on-premises databases, cloud storage, and third-party APIs.</li><li>Implement data synchronization processes to ensure consistency and accuracy of data across different systems.</li><li>Monitor and optimize query performance and resource utilization within Snowflake using query profiling, query optimization techniques, and workload management features.</li><li>Identify and resolve performance bottlenecks and optimize data warehouse configurations for maximum efficiency.</li><li>Work on Snowflake modeling – roles, databases, schemas, ETL tools with cloud-driven skills</li><li>Work on SQL performance measuring, query tuning, and database tuning</li><li>Handle SQL language and cloud-based technologies</li><li>Set up the RBAC model at the infra and data level.</li><li>Work on Data Masking / Encryption / Tokenization, Data Wrangling / Data Pipeline orchestration (tasks).</li><li>Setup AWS S3/EC2, Configure External stages, and SQS/SNS </li><li>Perform Data Integration e.g. MSK Kafka connect and other partners like Delta Lake (data bricks)</li></ul> Key Skills & Qualifications: <ul><li> ETL – Experience with ETL processes for data integration.</li><li>SQL – Strong SQL skills for querying and data manipulation</li><li>Python – Strong command of Python, especially in AWS Boto3, JSON handling, and dictionary operations	</li><li>Unix – Competent in Unix for file operations, searches, and regular expressions</li><li>AWS – Proficient with AWS services including EC2, Glue, S3, Step Functions, and Lambda for scalable cloud solutions</li><li>Database Modeling – Solid grasp of database design principles, including logical and physical data models, and change data capture (CDC) mechanisms.</li><li> Snowflake – Experienced in Snowflake for efficient data integration, utilizing features like Snowpipe, Streams, Tasks, and Stored Procedures.</li><li>Airflow – Fundamental knowledge of Airflow for orchestrating complex data workflows and setting up automated pipelines</li><li>Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.</li><li>Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.</li><li>Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.</li></ul>We work closely with<ul><li>Data Wrangling</li><li>ETL</li><li>Talend</li><li>Jasper</li><li>Java</li><li>Python</li><li>Unix</li><li>AWS</li><li>Data Warehousing</li><li>Data Modeling</li><li>Database Migration</li><li>RBAC model</li><li>Data migration </li></ul> Our Process<ul><li>Schedule a 15 min Video Call with someone from our Team</li><li>4 Proctored GQ Tests (< 2 hours)</li><li>30-45 min Final Video Interview</li><li>Receive Job Offer</li></ul> If you are interested in reaching out to us, please apply and our team will contact you within the hour.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. We are seeking a highly skilled and experienced Data Mapping/Business Analyst to join our team. The successful candidate will play a critical role in major data migration, conversion, and integration projects, leveraging deep knowledge of ALIP (Admin Server, Life Insurance Platform), ACORD standards, and the Life Insurance domain. This role requires exceptional analytical skills, proficiency in data modeling and mapping, and the ability to translate complex business requirements into detailed technical specifications. We are looking for a Business Analyst who can, but not limited to, the following: <ul><li>Analyze, document, and manage data mapping requirements for system conversions, integrations, and upgrades involving the ALIP platform.</li><li>Analyze and map ACORD XMLs, JSON, flat files, and legacy data into target logical models.</li><li>Define and document source-to-target data mappings for various data elements, including policy, product, party, claims, and financial data.</li><li>Develop data transformation rules and logic for complex data elements.</li><li>Demonstrate strong working knowledge of the ALIP platform's data model and functionality for various life and annuity products.</li><li>Apply expertise in ACORD standards (e.g., ACORD XML, ACORD Life standards) to facilitate effective data exchange and interoperability.</li><li>Conduct gap analysis between ACORD standards, source data, and target BRx models (Business Rules/Requirements models).</li><li>Ensure all data mapping and integration solutions adhere to industry best practices and ACORD messaging specifications.</li><li>Elicit, analyze, and document business requirements from stakeholders across various departments (Actuarial, Operations, IT, etc.) for life insurance modernization initiatives.</li><li>Translate high-level business needs into detailed functional and non-functional specifications, including use cases and process flows.</li><li>Serve as the subject matter expert (SME) for life insurance products, business processes, and related data structures.</li><li>Validate that implemented solutions meet the original business requirements through rigorous testing and review.</li><li>Collaborate with data architects, developers, and testers to ensure the accuracy and integrity of data transformations.</li><li>Facilitate meetings and workshops with technical and business teams to resolve data and business process conflicts.</li><li>Create and maintain essential project documentation, including Business Requirements Documents (BRD), Functional Specifications Documents (FSD), and Data Dictionaries.</li></ul> Required Qualifications <ul><li>10-12+ years of experience as a Data Analyst, Business Analyst, or similar role, preferably within the Life and Annuity Insurance industry.</li><li>Mandatory hands-on experience with the ALIP platform data structures and functionality.</li><li>Proven expertise in ACORD standards and models, specifically related to Life Insurance and Annuities.</li><li>Demonstrated proficiency in data mapping and developing detailed transformation logic across various data formats (XML, JSON, flat files).</li><li>Strong SQL skills for data querying, analysis, and validation.</li><li>Solid understanding of the end-to-end life insurance business lifecycle, including new business, underwriting, policy administration, billing, and claims.</li><li>Excellent communication, presentation, and interpersonal skills.</li></ul> Our Process <ul><li>Schedule a 15 min Video Call with someone from our Team</li><li>1 Proctored GQ Tests (< 2 hours)</li><li>Slideware (Presentation Deck)</li><li>30-45 min Final/tech Video Interview</li><li>Receive Job Offer</li></ul> If you are interested in reaching out to us, please apply and our team will contact you within the hour.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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