Job details
- Location
- Lansing, MI
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 3 weeks ago
- Apply on
- jackson.wd1.myworkdayjobs.com
About this role
Jackson is an insurance company seeking a Financial Analyst I to support its Asset Liability Management department. The role assists with monitoring and managing asset/liability exposure through financial models, hedging programs, reporting, model development, and risk management activities.
What you'll do:
- Updates and maintains financial models and hedging programs
- Develops in-depth knowledge of annuity product designs and optional benefit features as well as capital market instruments (options, swaps, futures, etc.) and hedging concepts
- Determines modeling ramifications of Jackson’s new product offerings or changes to hedging strategies
- Prepares periodic hedging reports for use in decision making by ALM management
- Assists in the model development process, including testing, validation, and implementation of new coding changes
- Assists in the operation of financial controls and model risk management
- Develops improvements to methods, procedures, and systems
- Provides research support for other departments’ information requests
- Performs ad hoc project analyses
- Performs other duties and/or projects as assigned
What they're looking for:
- Strong understanding of financial mathematics and modeling
- Extensive coursework and knowledge in statistics, math, economics, finance, or actuarial science
- Strong quantitative and analytical skills
- Strong problem-solving skills and attention to detail
- Effective written and verbal communication skills
- Proficiency with MS Excel and Word
- Knowledge and experience with computer programming, especially in SAS, R, or Python
- Ability to handle multiple priorities in a timely and accurate manner and adapt to changing priorities as needed
- Bachelor's Degree in finance, actuarial science, economics, mathematics, or related field of study is required
- In lieu of meeting the education requirements, candidates with strong quantitative experience in the fields mentioned above may also be considered
- Practical knowledge of financial instruments/derivatives preferred
- Advanced degree (Master's or PhD) in quantitative field preferred
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