Sr. Risk Analyst, Financial Risk Management

Posted:
12/18/2024, 4:00:00 PM

Location(s):
Tennessee, United States ⋅ Michigan, United States ⋅ Nashville, Tennessee, United States ⋅ Lansing, Michigan, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

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Job Purpose

The Sr. Financial Risk Analyst contributes to the Risk function's oversight of risk management activities through modeling and analysis of risk exposures at Jackson.

Essential Responsibilities

  • Leads the monthly production of stochastic economic scenario generation and risk limit calculations to support capital and liquidity management processes.
  • Assists in the development and use of quantitative models and analytical tools that enable the Risk function to assess risk to its capital and liquidity positions, which includes understanding the impact of hedging activity on the risk profile. Supports model risk management efforts, including validations and control reviews of actuarial/financial models, including assessments of the methodologies and assumptions used within models.
  • Produces key risk reports, management information and additional analysis used to inform Risk leadership and other members of the senior management team on the nature and materiality of various risks confronting Jackson.
  • Drives continuous improvement to enhance the quality of models and analysis produced by the Risk function and reduces the time taken to produce them by utilizing machine learning and high performance computing, among other techniques.
  • Provides analytical support for the calibration of models used to assess risk exposure.
  • Develops and maintains effective relationships within the Risk function and with other functions at Jackson (Asset/Liability Management, Treasury, Finance, Actuarial, Audit, Compliance, etc.) to allow a holistic view of risk across the organization and to strengthen cross-discipline risk management.

Other Duties

  • Performs other duties and/or projects as assigned.

Knowledge, Skills and Abilities

  • Knowledge of annuity product pricing and ALM techniques, and financial risk exposures facing annuity writers.
  • Knowledge of the financial derivatives used to hedge annuity risk exposures.
  • Knowledge in the design, development, operation and testing of quantitative models, especially models of financial derivatives/guarantees.
  • Demonstrated proficiency using Microsoft Excel.
  • Ability to program in C and/or Python.
  • Familiarity with data analysis and statistical software such as SAS, R or MATLAB is desired.
  • Strong verbal and written communication skills, especially when articulating technical concepts in a compelling manner to engage both technical and non-technical audiences.
  • Strong analytical, problem solving skills and detail orientation.

Qualifications

  • Bachelor's Degree in a quantitative discipline, such as Finance, Actuarial Science, Economics or Mathematics required.

  • 3+ years of experience required.

  • Experience in a risk management role in diversified life and annuity/financial services company or related consulting services organization preferred.

  • Progress towards professional designation in related risk management, actuarial or investment management (such as PRM, FSA, CFA, CERA) area or a Master's degree in quantitative discipline is preferred.

We don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Jackson is proud to be an equal opportunity workplace. The Company subscribes to and endorses federal and state laws and regulations relating to equal employment opportunity for all persons without regard to race, color, religion, gender, age, national origin, legally-recognized disability, marital status, legally-protected medical condition, citizenship, ancestry, height, weight, sexual orientation, veteran status, or any other factor not related to the needs of the job. The Company is committed to a policy of equal opportunity. Company facilities and campuses are tobacco-free environments.