Manager, Applied Analytics Model Operations

**About AIG**

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, and other financial services to customers in more than 80 countries and jurisdictions.

These diverse offerings include products and services that help businesses and individuals protect their assets and manage risks.

**Job Description**

This role has primary responsibility for supporting the end-to-end model operations for AIG's Structured Fixed Income portfolio.

This role will work closely with Blackrock Analytics teams and our internal stakeholders.

Support will include all aspects of the model life cycle including data quality and oversight, model process execution and KPI's, reporting & delivery, model oversight and governance, model configuration, stakeholder engagement.

Responsibilities also include coordination 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, in addition to effective collaboration with control partners to reduce operational risk and maintain effective controls for analytics activities.

Expected to contribute subject matter expertise to initiatives impacting the function.

Responsibilities focus on applied quantitative methods, in combination with effective process, operations, and controls.

The role requires strong knowledge asset valuation models and security level market risk analytics, with strong foundation in understanding of complex process systems, and an overall process orientation.

**Responsibilities**

Responsible for supporting the end-to-end model operations for AIG's Structured Fixed Income and Commercial Mortgage Loan portfolios.

Requires ability to understand sensitivity of models and cashflows to risk factors and scenarios as they related to Structured Fixed Income assets, 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.

Perform quality assurance checks on underlying data. Understand and interpret results from AIG's global investment analytics results.

Perform or ensure adequate performance of quarterly SOX controls relating to the Structured Fixed Income portfolio, including a reviews of cashflows, valuation and income.

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, auditors, etc.).

Interface directly with control partners to evidence and satisfy controls including audit and SOX.

High levels of interaction with senior managers, coordinating inputs from multiple sources, analyzing data, and delivering superior quality output.

Support ad hoc requests from stakeholders.

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

**Requirements**

10 years 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 modelling, 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.

Capable of recognizing data problems, identifying root causes and escalating to relevant group for appropriate solution.

Able to perform effectively while dealing with multiple priorities within tight deadlines.

Highly motivated, a self-starter as well as a team player, constantly striving to deliver excellent customer service.

Ability to provide quick analysis, without sacrificing numerical or aesthetic accuracy.

Flexible work approach.

**Preferred Qualifications**

Degree in business, finance or a related discipline desirable.

Additional preferred (but not required) skills:

Fundamental knowledge of asset modeling, security market risk analytics, issuer credit risk analytics, and/or investment portfolio analytics.

Knowledge of asset modeling and projection platforms and processes applied in production by Investment Analytics.

Familiarity with relational databases, VBA and SQL programming.

Competency in analytics software and methods, in particular R or Python or other statistical software experience.