Risk Data Analyst Jobs
Risk Data Analyst jobs are open across financial services, insurance, healthcare, and technology, from entry-level to senior and lead roles, with specializations in credit risk, market risk, and operational risk modeling. Find a role that fits from the openings below and apply directly.
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Showing 5 of 662+ Risk Data Analyst jobs
Join Our Team
In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America’s Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America’s Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it’s like to work at “one of the best places to work in the metro Atlanta”.
About this Position
This role is responsible for leading advanced underwriting research and analytics to improve risk segmentation, underwriting performance, and strategic decision making across life insurance operations. The position partners closely with underwriting, actuarial, claims, and R&D teams to evaluate new data sources, develop and validate predictive models, and translate complex analytical findings into actionable business recommendations. The role drives cross functional analytical initiatives, supports underwriting innovation, and regularly presents insights and performance results to senior leadership.
Salary range between $85K - $100K Annual
Hybrid role
Location: Duluth, GA
Responsibilities & Qualifications
Key Responsibilities Summary
- Research and evaluate internal and external data sources to enhance underwriting risk assessment and segmentation
- Support the development, testing, and validation of predictive underwriting models and tools
- Conduct mortality, morbidity, experience, and A/E studies to assess underwriting methodologies and outcomes
- Perform cost‑benefit, validation, and impact analyses related to underwriting rules, requirements, and workflows
- Translate complex statistical, actuarial, and analytical results into clear, strategic recommendations
- Identify underwriting practices impacting mortality experience and recommend improvements
- Design and maintain dashboards, reports, and executive‑level presentations tracking underwriting performance and model results
- Lead cross‑functional analytic projects aligned with R&D and underwriting innovation initiatives
- Regularly present insights and findings to senior leadership and key stakeholders
Qualifications & Experience Summary
- 3–5+ years of experience in analytics‑focused roles; Strong experience with life or health insurance experience.
- Proficiency in SQL, database management tools, PowerBI, and advanced MS Office
- Bachelor’s degree required; Master’s degree in Data Science, Statistics, Actuarial Science, or related field preferred
- Programming experience in Python, R, and/or Palantir Foundry preferred
- Strong background in quantitative analysis, data mining, and risk assessment
- Experience conducting actuarial, underwriting, or insurance‑related studies strongly preferred
- Progress toward actuarial exams or data science certifications is a plus
- Strong strategic thinking, problem‑solving, and communication skills with the ability to operate effectively in ambiguous environments
Preferred Qualifications:
- Any of the following underwriting designations: LOMA/FLMI, FALU, CLU, or equivalent.
- Solid experience in underwriting highly preferred.
FLSA status:
This position is exempt (not eligible for overtime pay): Yes
Our Benefits:
- Day one health, dental, and vision insurance
- 401(k) Plan with competitive employer match
- Vacation, sick, holiday and volunteer time off
- Life and disability insurance
- Flexible Spending Account & Health Savings Account
- Professional development
- Tuition reimbursement
- Company-sponsored social and philanthropy events
It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.
At Primerica, we believe that diversity and inclusion are critical to our future and our mission – creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.
Join Our Team
In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America’s Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America’s Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it’s like to work at “one of the best places to work in the metro Atlanta”.
About this Position
This role is responsible for leading advanced underwriting research and analytics to improve risk segmentation, underwriting performance, and strategic decision making across life insurance operations. The position partners closely with underwriting, actuarial, claims, and R&D teams to evaluate new data sources, develop and validate predictive models, and translate complex analytical findings into actionable business recommendations. The role drives cross functional analytical initiatives, supports underwriting innovation, and regularly presents insights and performance results to senior leadership.
Salary range between $85K - $100K Annual
Hybrid role
Location: Duluth, GA
Responsibilities & Qualifications
Key Responsibilities Summary
- Research and evaluate internal and external data sources to enhance underwriting risk assessment and segmentation
- Support the development, testing, and validation of predictive underwriting models and tools
- Conduct mortality, morbidity, experience, and A/E studies to assess underwriting methodologies and outcomes
- Perform cost‑benefit, validation, and impact analyses related to underwriting rules, requirements, and workflows
- Translate complex statistical, actuarial, and analytical results into clear, strategic recommendations
- Identify underwriting practices impacting mortality experience and recommend improvements
- Design and maintain dashboards, reports, and executive‑level presentations tracking underwriting performance and model results
- Lead cross‑functional analytic projects aligned with R&D and underwriting innovation initiatives
- Regularly present insights and findings to senior leadership and key stakeholders
Qualifications & Experience Summary
- 3–5+ years of experience in analytics‑focused roles; Strong experience with life or health insurance experience.
- Proficiency in SQL, database management tools, PowerBI, and advanced MS Office
- Bachelor’s degree required; Master’s degree in Data Science, Statistics, Actuarial Science, or related field preferred
- Programming experience in Python, R, and/or Palantir Foundry preferred
- Strong background in quantitative analysis, data mining, and risk assessment
- Experience conducting actuarial, underwriting, or insurance‑related studies strongly preferred
- Progress toward actuarial exams or data science certifications is a plus
- Strong strategic thinking, problem‑solving, and communication skills with the ability to operate effectively in ambiguous environments
Preferred Qualifications:
- Any of the following underwriting designations: LOMA/FLMI, FALU, CLU, or equivalent.
- Solid experience in underwriting highly preferred.
FLSA status:
This position is exempt (not eligible for overtime pay): Yes
Our Benefits:
- Day one health, dental, and vision insurance
- 401(k) Plan with competitive employer match
- Vacation, sick, holiday and volunteer time off
- Life and disability insurance
- Flexible Spending Account & Health Savings Account
- Professional development
- Tuition reimbursement
- Company-sponsored social and philanthropy events
It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.
At Primerica, we believe that diversity and inclusion are critical to our future and our mission – creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.
See All 662+ Risk Data Analyst Jobs
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Find Risk Data Analyst JobsRisk Data Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Citi21
- Humana19
- Goldman Sachs16
- JPMorganChase16
- Amazon12
Top Industries Hiring
- Technology & Software133
- Banking & Financial Services124
- Investment & Asset Management92
- Insurance46
- Biotechnology & Pharmaceuticals33
What Employers Look For
The qualifications that appear most often in risk data analyst jobs.
- Bachelor's degree in statistics, mathematics, finance, economics, or a related quantitative field
- Proficiency in SQL for querying large financial or operational datasets
- Experience with Python or R for statistical modeling and data analysis
- Familiarity with risk frameworks such as credit risk, market risk, or operational risk
- Knowledge of regulatory requirements including Basel III, CCAR, CECL, or DFAST
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Tips for Your Risk Data Analyst Job Search
Quantify your risk models on your resume
Listing tools like SQL, Python, or SAS means nothing without context. Show the scale of the datasets you worked with and the business outcome your models drove, such as reducing false positives in a fraud detection pipeline or improving loss forecasting accuracy.
Match your resume to the risk domain
Credit risk, market risk, and operational risk roles each use different frameworks and vocabulary. Tailor your resume language to the specific domain in each job posting so your application doesn't read like a generic data analyst submission that missed the risk context entirely.
Target listings by regulatory keyword
Many risk data analyst postings require familiarity with Basel III, CCAR, CECL, or DFAST. If you have that exposure, call it out explicitly in your resume and cover letter, because recruiters and ATS systems filter on those regulatory terms before a human ever reads your application.
Apply early to roles that fit
Migrate Mate lists risk data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical walkthrough for interviews
Risk data analyst interviews often include a case where you explain a model you built, the assumptions behind it, and how you validated it. Practice narrating that story out loud so you can walk through your methodology clearly without relying on slides or code in front of you.
Negotiate using the scope of risk coverage
When discussing compensation, frame your value around the dollar volume of risk exposure your models inform, not just your years of experience. Analysts who can articulate the financial stakes their work manages tend to anchor negotiations at a stronger starting point.
Risk Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most risk data analysts?
The companies hiring the most risk data analysts right now include Citi, Humana, and Goldman Sachs, with the largest share of openings in New York, California, and Texas, based on current listings on Migrate Mate as of June 2026. Financial services firms and large insurers consistently post the highest volume of risk data analyst roles nationwide.
How many risk data analyst jobs are remote?
About 35% of risk data analyst openings are fully remote or hybrid as of June 2026, making it a moderately flexible field compared to other data roles. Positions focused on model validation, reporting automation, and regulatory analytics tend to offer the most remote flexibility, while roles tied to trading desks or on-site risk operations are more likely to require in-office presence.
How do you become a risk data analyst?
Start with a quantitative degree in statistics, finance, mathematics, or economics, then build hands-on skills in SQL and Python through coursework or personal projects using publicly available financial datasets. Pursue an internship or entry-level analyst role in banking, insurance, or fintech to gain domain-specific exposure. Professional certifications in risk management, such as the Financial Risk Manager credential, strengthen your profile for more specialized roles.
Can you get a risk data analyst job with little experience?
Yes, entry-level risk data analyst roles exist, particularly at regional banks, insurance companies, and fintech startups that need analysts to build out reporting and monitoring functions. Demonstrating proficiency in SQL and Python through a portfolio project that models a financial risk scenario, such as a credit scorecard or a fraud detection classifier, can substitute for direct work experience when applying for junior positions.
What does the risk data analyst interview process look like?
Most risk data analyst interview processes include a recruiter screen, a technical assessment covering SQL queries and statistical reasoning, and a final round with the hiring manager and a risk team lead. The technical round often includes a case study where you interpret a dataset and explain what risk signal it reveals. Some firms add a regulatory knowledge component, particularly if the role supports compliance or stress testing functions.
Where can I find and apply to risk data analyst jobs?
You can find and apply to risk data analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience level and specialization, then apply directly to each position that fits. No detours, no intermediary steps.
See All 662+ Risk Data Analyst Jobs
Jump back to the full list of openings and apply to any risk data analyst role that fits.
Find Risk Data Analyst Jobs