Tech Expert Risk Model Validation

Corebridge Financial•Woodland Hills, CA

1d•Hybrid

About The Position

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. The Modeling Team (FQA - Financial Quantitative Analysis) develops, tests, and maintains the valuation framework to support the management of the hedging portfolio. The team also manages the automation around the daily large-scale Monte-Carlo simulations used to value the 300K+ customer accounts we manage. We are seeking team members to help us maintain and enhance a best-in-class valuation framework. The team is also responsible for driving automation to financial management reports and designing dashboards to automate market risk monitoring. Reporting to Head of Model Validation you will perform in depth testing for all liability models, data systems and automation processes. You will create, document and execute test plans for: economic product models, data systems and automation processes. Assesses, documents and communicates financial impact of model changes to the relevant constituents across the division and enterprise. Provide feedback to developers and model owners to improve business requirements, system specifications and implementation strategy.

Requirements

Detail and process oriented.
Degree in computer science, engineering, finance, computational science or math.
3+ years of business experience, preferably with a global bank or in an insurance company.
Knowledge of and experience in creating production quality financial models and databases.
Programming experience in C++ /Python/C#/MS SQL.
Good written and verbal communication skills.
The ability to work within a large and diverse team.

Nice To Haves

Experience in a financial engineering capacity

Responsibilities

Write and/or review System Change Requests for completeness and accuracy.
Design valuation model and database test plans, perform testing and provide detailed supporting documentation.
Assist in coordinating valuation model and database launches to Production.
Perform data extraction and run data integrity checks on policy-holder information extracted from Administrative Systems and/or Data Warehouses for use in risk management modeling software.
Periodically assist in defining requirements for enhancing data management process