Head of Analytics

Get to Know the Business

The Investments business is one of the key drivers of revenues and profitability at AIG. Our Investments professionals are responsible for investing the insurance premiums and deposits we collect to generate net investment income that is available to pay claims or benefits and provide returns to shareholders. AIG Investments provides advisory and asset management solutions to AIG, its business units and third-party clients, globally, maintaining investment platforms across multiple asset classes. These asset classes include investment grade and high yield corporate debt, sovereign and emerging market debt, municipal debt, securitized products, residential and commercial mortgage loans, private placements, real estate, public equities and private equity. The Investment team is comprised of professionals endeavoring to provide strong returns on our clients’ invested capital. At AIG Investments, we are thought leaders in the global asset management industry with expertise and capital spanning the globe.

About the Role – Head of Analytics

The Head of Analytics serves a critical role ensuring timely and accurate reporting of AIG Investments’ model outputs.  This role will include leadership over all aspects of the model life cycle including data quality and oversight, model process execution, inputs to key financial impairment models (i.e., CECL, OTTI), KPI’s, reporting & delivery, model oversight and governance, model configuration, stakeholder engagement. Responsibilities also include ownership of relationship with market data vendors required in support of AIG’s multi-asset class investment portfolio.  This role will also be responsible to develop and execute model strategies in support of business needs, accounting or tax rule developments, and to implement an efficient operating environment in this space. 

The successful candidate is an established business management, operational leader who possesses a strong and well-balanced combination of analytical technical knowledge, process and data acumen, and operationally savvy with an ability to efficiently leverage available resources, organizational dexterity with capability to build relationships across disciplines, and comfort leading teams and influencing others in a dynamic and transformational environment.

This role offers opportunity for leadership and analytical development as well as exposure to senior and executive management on a global basis.

Responsibilities

• Responsible for supporting the end-to-end model operations for AIG’s multi-asset class portfolios in a manager of manager asset management organization

• Requires ability to understand sensitivity of models and cashflows to risk factors and scenarios, and ability to diagnose suspected or actual problems.

• Manage the day-to-day data analytics needs of the CIO, Finance, Accounting, and Risk teams.

• Establish requirements and manage day-to-day relationships with Blackrock’s Aladdin team and market data providers integral to the achievement of the goals and responsibilities of this team.

• Guide team members in strategy, alignment, analysis and execution tasks.

• Build relationships and lead design sessions with technical and functional resources with multiple internal and external teams spanning disciplines including technology, 3rd parties, and other SMEs.

• Ensure governance and compliance with standards, policies, and practices. Participate in review of processes, operations, controls, change management, and outputs by consumers, second line of defense functions (e.g., ERM, ORM, Finance Control), third line of defense functions (internal audit), and external stakeholders (e.g., regulators, financial auditor such as PWC, etc.).

• Lead relationships with control partners to evidence and satisfy controls including audit and SOX.

• Maintain in-depth knowledge of analytics data best practices, technologies, data providers, financial and tax developments, and emerging trends.

Person Specification

• 15+ years leadership experience in Investment analytics, operations or data including familiarity with collateral modeling, macro factors, behavioral factors, real estate loan data, scenario generation and stress testing.

• Experience establishing and managing data science and analytics ecosystems including cloud environments, DevOps, model governance systems and frameworks, model development/implementation/refresh lifecycle, data wrangling/scrubbing/ETL, and analytics model SDLC and production support.

• Deep understanding of Investments/Asset Management/Banking & Financial Services industry, including: asset classes, Front/Middle/Backoffice operat