What are the responsibilities and job description for the Data Analytics Operations Lead - Structured Fixed Income position at American International Group (AIG)?
About Us
American International Group (AIG) is a leading global insurance organization with over 100 years of experience. Our diverse offerings include property casualty insurance and other financial services to customers in more than 80 countries and jurisdictions.
Job Overview
This role has primary responsibility for supporting the end-to-end model operations for AIG's Structured Fixed Income portfolio. The successful candidate will work closely with Blackrock Analytics teams and internal stakeholders to ensure seamless execution and delivery of high-quality results.
Key Responsibilities
- Support all aspects of the model life cycle, including data quality and oversight, model process execution and KPIs, reporting and delivery, model oversight and governance, model configuration, and stakeholder engagement.
- Coordinate with data providers to support market data requirements for Structured Products in support of AIG's dynamic investment portfolio.
- Partner with CIO, Finance, Accounting, Risk, Operations, and Technology Teams to drive continued improvements, efficiencies, and an overall high-quality service model.
- Collaborate with control partners to reduce operational risk and maintain effective controls for analytics activities.
- Contribute subject matter expertise to initiatives impacting the function.
- Develop and maintain strong knowledge of asset valuation models and security-level market risk analytics.
Requirements
- 10 years of analytics experience in Structured Fixed Income, including familiarity with collateral modeling, macro factors, behavioral factors, real estate loan data, scenario generation, and stress testing.
- Experience working with data scientists who support models utilizing statistical analysis, including techniques for predictive modeling, classification, segmentation, and experimental design related to Structured Fixed Income.
- Demonstrated ability to identify and understand key business drivers and prepare analysis showing drivers of performance for Structured Fixed Income.
- Applied asset valuation and modeling training/experience.
- Competency with data visualization and business dashboards, PowerBI preferred. Python, C#, and/or Perl also a plus.
- Strong familiarity with investment asset classes, market & reference data, and asset-side accounting data requirements.
Benefits
- Dynamic work environment with opportunities for growth and development.
- Collaborative team culture with a focus on excellence and innovation.
- Competitive compensation package.
- Ongoing training and professional development opportunities.
