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An established industry player in insurance and financial services is seeking a talented professional to join their dynamic team. This role offers a unique opportunity to develop predictive models that drive commercial pricing strategies while working in a collaborative and inclusive environment. With the flexibility to work remotely or from preferred locations, you will engage in exciting projects that leverage your coding skills in R, Python, or SQL. The company is committed to diversity and provides a comprehensive benefits package, including generous paid time off and opportunities for career advancement. If you are passionate about financial risk modeling and eager to make a significant impact, this is the perfect opportunity for you.
Employer Industry: Insurance and Financial Services
Why consider this job opportunity:
- Salary up to $215,000
- Minimum of 18 days paid time off each full calendar year, pro-rated quarterly based on hire date
- Opportunity for career advancement and growth within the organization
- Work remotely or from preferred locations including Columbus, OH, Des Moines, IA, or Scottsdale, AZ
- Comprehensive benefits package including medical, dental, vision, life insurance, and 401(k) with company match
- Collaborative culture that values diversity and inclusion
What to Expect (Job Responsibilities):
- Develop and enhance predictive models to support commercial pricing strategies
- Utilize coding skills in R, Python, or SQL for model development and maintenance
- Collaborate with finance team members and business partners to devise solutions to business challenges
- Implement financial engineering and statistical techniques for risk management
- Conduct regular testing of risk limits to guide asset allocation and product growth decisions
What is Required (Qualifications):
- Undergraduate studies in finance, accounting, economics, statistics, mathematics, or related fields
- Minimum of five years of related work experience in financial risk modeling or actuarial functions
- Strong coding skills in R, Python, or SQL
- Excellent analytical and problem-solving abilities
- Proficient written and verbal communication skills
How to Stand Out (Preferred Qualifications):
- Progress toward FCAS, FSA, CQF, CFA, or similar certifications
- Graduate-level studies in a related field
- Familiarity with machine learning and statistical techniques applicable to risk modeling
- Knowledge of risk management operations such as asset-liability management and portfolio risk assessment
- Experience with statistical software like R, SAS, Python, or MATLAB
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