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Fidelity & Guaranty Life Insurance Company Interview Questions

Fidelity & Guaranty Life Insurance Company Interview Guides

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?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Fidelity & Guaranty Life Insurance Company Salaries by Position

<h3>Job Description</h3><div>Job Description<div>F&G is looking to hire for a Data Analyst The Data Analyst will work with business subject matter experts to analyze, validate, and utilize data for consumption by business stakeholders and research and understand customer processes and business data needs. This role will also help determine the required data and transformation needs for building out data pipelines to support our data platform.Duties and Responsibilities<ul><li>Work with business subject matter experts to analyze, validate, and utilize data for consumption by business stakeholders</li><li>Research and understand customer processes and business data needs</li><li>Help determine the required data and transformation needs for each data consumers' needs</li><li>Interpret data and analyze results using statistical techniques</li><li>Use strong SQL skills to provide data extracts as needed to address project and business need</li><li>Collaborate with business and development teams to document analytics dashboards, alerts, and reports</li><li>Support data management initiatives and data stewards by having thorough knowledge of their data domain</li></ul>Experience and Education Requirements<ul><li>Bachelor's Degree in General Business, Finance, Actuarial Science, Analytics or Information Systems or equivalent combination of education and experience</li><li>0-3 years of Data Analysis/Mapping experience</li><li>Proficient in requirements gathering methodologies and the SDLC</li><li>Experience with data mapping, requirements and business process analysis to ensure IT solutions meet the business's needs</li><li>Experience with SQL and ETL mapping tools</li><li>Understanding of APIs</li></ul>Preferred Requirements<ul><li>Experience with Tableau, PowerBI, JIRA, , Informatica PowerCenter, Informatica Data Management Cloud, Snowflake</li><li>Bachelor's degree in relevant technical field, (Information Technology, Computer Science, Software, Engineering, or related technical discipline), or equivalent combination of training and work experience</li><li>Insurance industry experience & knowledge of Annuity/Life products </li></ul>Knowledge, Skills and Abilities<ul><li>Strong analytical, critical-thinking, and problem-solving skills</li><li>Fast, adaptive learner</li><li>Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li><li>Ability to manage multiple tasks and deadlines simultaneously</li><li>Exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment</li><li>Results-oriented</li><li>Dedicated work ethic</li><li>Strong interpersonal communication skills, written and verbal</li></ul>Other Requirements<ul><li>Perform other functions, duties and projects as assigned</li><li>Regular and punctual attendance</li><li>Minimal travel required (less than 10%)</li></ul>#LI-BR1 #LI-Remote<div>Additional Information Work EnvironmentsF&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role.F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact talentacquisition@fglife.com.Join our employee-centric hybrid work environment: F&G CareersAbout F&GSince 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life's unexpected events.As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work.1Top Workplaces USA 2022 – 2023 2Des Moines Register Top Workplaces 2018 – 2022 Notice for all Applicants who are California residents under the California Privacy Rights Act. Please click here to review the policy. </div></div></div>

Full job description
F&G is looking to hire for a Data Scientist - Retail

The Data Scientist position will provide leadership for data science initiatives and derive actionable insights from complex datasets. This position will play a key role in shaping advanced analytics, developing advanced analytical models, and mentoring team members. This position will have responsibility to collaborate closely with teams to identify opportunities, solve challenging problems, and drive innovation across the organization.

Organization

This position reports to the Director, Analytics and interacts with other members of Retail and the larger organization. This quantitative role will collaborate with IT, data engineers, advanced analytics developers, business stakeholders, and business leaders to evaluate and address business problems using advanced analytics and data science methods.

Duties and Responsibilities

Extract knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques; this includes the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create sustainable solutions that enable enhanced business performance.

Confer with business partners to identify questions and issues for data analysis and experiments.

Identify meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Harden models for production deployment and monitor model performance over time.

Design and highlight scalable data infrastructure and pipelines for efficient data processing, storage, and analysis.

Stay abreast of emerging technologies and industry trends in data science, machine learning, and artificial intelligence, and evaluate their potential impact on our business.

Provide expertise on the risks and benefits of AI software created by external vendors.

Follow and teach data science best practices, including CRISP-DM.

Mentor and provide technical guidance to other team members, fostering a culture of collaboration and continuous learning.

Recommend technical stacks and capabilities to support advanced analytics from a data science perspective.

Communicate findings and recommendations to non-technical audiences through compelling visualizations, reports, and presentations.

Collaborate with teammates, IT teams, and other partners to build technical solutions that solve problems, are reusable, scalable, fast, and maintainable with large datasets, both clean and un-clean, to support advanced analytics.

Initiate collaboration with customers, internal teams and departments to build collaborative, cross-functional relationships to achieve mutual goals.

Question common practice and contributes to improvement of processes and outputs.

Teach, mentor, and provide work direction to interns and/or entry level modelers.

Create and maintain process documentation and instructions for analyses conducted. Produces files and result summaries that are professional and communicate information effectively.

Experience and Education Requirements

Master's or PhD degree in a mathematics, statistics, machine learning, data science, economics, computer science, operations research, or other quantitative field.

8+ years of experience designing, building, and supporting advanced analytics models in a professional environment.

Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle).

Experience with big data technologies (e.g., Snowflake, Hadoop, Spark, Hive, Databricks, Azure).

Experience with data querying languages (e.g. Python, SQL).

Experience with data visualization tool (e.g., Tableau, Power BI, Jupyter Hub).

Preferred Requirements

Experience with Life Insurance and Indexed Annuity data.

Experience with cloud technologies such as Azure as it pertains to data and analytics.

General understanding of non-analytics functions within an insurance company.

Knowledge, Skills, and Abilities

Fluent in Python or R.

Fluent in statistical/mathematical software (e.g., scikit learn in Jupyter Hub, modeling in R Studio, STATA, SAS, Statistica).

Ability to adhere to standard practices and use of version control tools such as GitHub/GitLab.

Thorough understanding of linear and logistic regression, SVMs, hybrid models, random forest, and other decision trees.

Ability to make Feature selections and/or extractions.

Familiar with machine learning practices to automate model selection and feature selection.

Strong analytical, critical-thinking, and problem-solving skills.

Fast, adaptive learner.

Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment.

Results-oriented.

Dedicated work ethic.

Strong interpersonal communication skills, written and verbal.

Excellent teamwork and relationship-building skills.

Other Requirements

Must be able to sit in front of a computer for extended periods of time.

Perform other functions, duties and projects as assigned.

Regular and punctual attendance.

Minimal travel required (less than 10%).

Additional Information

Work Environments

F&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role.

F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact talentacquisition@fglife.com.

Join our employee-centric hybrid work environment: F&G Careers.

About F&G

Since 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life's unexpected events.

As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work.

1 Top Workplaces USA 2022 – 2023

2 Des Moines Register Top Workplaces 2018 – 2022

#J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div>F&G is looking to hire for a Data Scientist - Retail The Data Scientist position will provide leadership for data science initiatives and derive actionable insights from complex datasets. This position will play a key role in shaping advanced analytics, developing advanced analytical models, and mentoring team members. This position will have responsibility to collaborate closely with teams to identify opportunities, solve challenging problems, and drive innovation across the organization.Organization This position reports to the Director, Analytics and interacts with other members of Retail and the larger organization. This quantitative role will collaborate with IT, data engineers, advanced analytics developers, business stakeholders, and business leaders to evaluate and address business problems using advanced analytics and data science methods.Duties and Responsibilities<ul><li>Extract knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques; this includes the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create sustainable solutions that enable enhanced business performance.</li><li>Confer with business partners to identify questions and issues for data analysis and experiments.</li><li>Identify meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.</li><li>Harden models for production deployment and monitor model performance over time.</li><li>Design and highlight scalable data infrastructure and pipelines for efficient data processing, storage, and analysis.</li><li>Stay abreast of emerging technologies and industry trends in data science, machine learning, and artificial intelligence, and evaluate their potential impact on our business.</li><li>Provide expertise on the risks and benefits of AI software created by external vendors</li><li>Follow and teach data science best practices, including CRISP-DM</li><li>Mentor and provide technical guidance to other team members, fostering a culture of collaboration and continuous learning.</li><li>Recommend technical stacks and capabilities to support advanced analytics from a data science perspective</li><li>Communicate findings and recommendations to non-technical audiences through compelling visualizations, reports, and presentations.</li><li>Collaborate with teammates, IT teams, and other partners to build technical solutions that solve problems, are reusable, scalable, fast, and maintainable with large datasets, both clean and un-clean, to support advanced analytics</li><li>Initiate collaboration with customers, internal teams and departments to build collaborative, cross-functional relationships to achieve mutual goals.</li><li>Question common practice and contributes to improvement of processes and outputs</li><li>Teach, mentor, and provide work direction to interns and/or entry level modelers.</li><li>Create and maintain process documentation and instructions for analyses conducted. Produces files and result summaries that are professional and communicate information effectively.</li></ul>Experience and Education Requirements<ul><li>Master's or PhD degree in a mathematics, statistics, machine learning, data science, economics, computer science, operations research, or other quantitative field</li><li>8+ years of experience designing, building, and supporting advanced analytics models in a professional environment</li><li>Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle).</li><li>Experience with big data technologies (e.g., Snowflake, Hadoop, Spark, Hive, Databricks, Azure).</li><li>Experience with data querying languages (e.g. Python, SQL)</li><li>Experience with data visualization tool (e.g., Tableau, Power BI, Jupyter Hub).</li></ul>Preferred Requirements <ul><li>Experience with Life Insurance and Indexed Annuity data</li><li>Experience with cloud technologies such as Azure as it pertains to data and analytics </li><li>General understanding of non-analytics functions within an insurance company</li></ul>Knowledge, Skills, and Abilities<ul><li>Fluent in Python or R</li><li>Fluent in statistical/mathematical software (e.g., scikit learn in Jupyter Hub, modeling in R Studio, STATA, SAS, Statistica)</li><li>Ability to adhere to standard practices and use of version control tools such as GitHub/GitLab.</li><li>Thorough understanding of linear and logistic regression, SVMs, hybrid models, random forest, and other decision trees</li><li>Ability to make Feature selections and/or extractions</li><li>Familiar with machine learning practices to automate model selection and feature selection</li><li>Strong analytical, critical-thinking, and problem-solving skills</li><li>Fast, adaptive learner</li><li>Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li><li>Exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment</li><li>Results-oriented</li><li>Dedicated work ethic</li><li>Strong interpersonal communication skills, written and verbal</li><li>Excellent teamwork and relationship-building skills</li></ul>Other Requirements<ul><li>Must be able to sit in front of a computer for extended periods of time</li><li>Perform other functions, duties and projects as assigned</li><li>Regular and punctual attendance</li><li>Minimal travel required (less than 10%)</li></ul>#LI-BR1 #LI-Remote<div>Additional Information Work EnvironmentsF&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role.F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact talentacquisition@fglife.com.Join our employee-centric hybrid work environment: F&G CareersAbout F&GSince 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life's unexpected events.As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work.1Top Workplaces USA 2022 – 2023 2Des Moines Register Top Workplaces 2018 – 2022 Notice for all Applicants who are California residents under the California Privacy Rights Act. Please click here to review the policy. </div></div></div>

Fidelity & Guaranty Life Insurance Company Interview Questions

Fidelity & Guaranty Life Insurance Company Interview Guides

Fidelity & Guaranty Life Insurance Company Interview Questions

Fidelity & Guaranty Life Insurance Company Salaries by Position

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