Sr Actuarial Analyst

GM Financial

$85K — $110K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of actuarial experience, preferably in ratemaking and reserving
  • Proficiency in SQL, Python, R or similar data analysis tools
  • Strong command of data visualization techniques
  • Experience with machine learning and statistical modeling
  • Effective organizational and project management capabilities
  • Strong critical thinking and decision-making skills
  • Excellent verbal and written communication skills

Responsibilities

  • Apply actuarial models to solve complex business problems driven by data
  • Serve as a subject matter expert on advanced actuarial procedures
  • Support integration of innovative methods and models
  • Write complex code for data manipulation and visualization
  • Conduct exploratory data analysis for data verification
  • Design and validate predictive solutions for business insights
  • Mentor junior analysts and potentially lead projects

Benefits

  • 401K matching from day one
  • 12 weeks of paid bonding leave for new parents
  • Tuition assistance and training opportunities
  • Employee discounts on auto purchases
  • Community service pay
  • Nine paid holidays per year
  • Hybrid work model with 2 in-office days per week
Full Job Description
Job Description

Responsibilities

About the role:

In this role, you will leverage advanced actuarial techniques, predictive modeling, and data analytics to solve complex business challenges and support strategic decision-making. You'll collaborate with cross-functional teams to develop analytical solutions, evaluate reserves, mentor junior analysts, and drive business performance through data-driven insights and innovation.

In this role you will:
  • Applies actuarial models and methods of moderate to high complexity on an ad-hoc basis to solve business problems.
  • Serves as subject matter expert for defined procedures of moderate to high complexity.
  • Supports implementation and documentation of new and innovative advanced methods and models.
  • Writes code of moderate to high complexity using SQL, Python, R or similar to query, calculate, transform, combine and visualize data.
  • Performs EDA to verify adequacy of data for task and performs reasonability checks.
  • Support the design, development and validation of predictive and prescriptive solutions with appropriate guidance to inform decisions and make recommendations.
  • Pursue problem identification and impact across large data sets, leveraging statistical and visualization techniques to further enhance insight and internal performance optimization.
  • Develop and build analytical solutions to solve ad-hoc business problems based on existing requirements, models, and methods.
  • Perform ad-hoc assignments with minimal guidance required, taking reasonable measures to ensure accuracy, appropriateness, and completeness.
  • Mentors and trains junior analysts.
  • May lead team projects.
  • Work with various functions, including finance, accounting, engineering, platform teams, R&D, IT, and others as required.
  • Perform periodic reserve reviews (e.g. UPR, IBNR, cancellation).


Qualifications

What makes you an ideal candidate?
  • Experienced with traditional methods for ratemaking, reserving, and other actuarial analyses.
  • Experienced developing analytical solutions using R, Python or similar tools, such as reserving software.
  • Mastery of data visualization techniques and modern interactive data visualization tools.
  • Strong working knowledge of code-based data visualization.
  • Experienced with querying, combining, and transforming complex data through SQL, Python, R or similar tools.
  • Experience applying advanced methods of probability and statistics, statistical modeling, data mining, machine learning, or deep learning techniques to solve business problems.
  • High-level organizational and project management skills in order to handle assignments in a timely manner and to monitor processes throughout a team or department.
  • Strong decision-making and critical thinking skills.
  • Strong oral and written communication, including active listening skills.
  • Make effective presentations and recommendations to department, manager, and immediate executive.
  • Effective collaboration with multi-disciplinary groups to achieve assigned objectives.
  • Working knowledge of reserving software such as ResQ, Arius, etc.
  • Working effectively within an AI enabled environment.


Work Experience & Education
  • Bachelor's Degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or other quantitative field required.
  • 3-5 years of experience with actuarial ratemaking and reserving, statistics, data science, and/or related quantitative experience required.


Licenses and Certifications
  • Associate of the Casualty Actuarial Society; may be actively pursuing Fellowship required


What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Compensation: Competitive pay and bonus eligibility.

Work Life Balance:Flexible hybrid work environment, 2-days a week in office.

NOTE:We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions

#GMFJobs #LI-Hybrid #LI-CR1

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