Role Value Proposition:
Global Risk Management (GRM) oversees MetLife’s financial and non-financial risks to support responsible growth and ensure we deliver on our promises to customers and stakeholders. GRM accomplishes this through proactive advice, independent and effective challenge, and through implementation and enforcement of guardrails. This position sits within Model Risk, GRM Data & Analytics.
You will be responsible for developing AI solutions for Global Risk Management along with our talented team. These AI solutions cover areas such as insurance products, investment, actuarial and customer protection. You will use your talent and skills gained in your academic and professional endeavors to innovate and make an impact. We will provide the selected candidate with coaching and mentoring to develop new skills that will shape the course of their career.
The candidate will have demonstrated very strong quantitative and communication skills allowing them to create innovative AI solutions to solve business problems and clearly communicate the approaches and impact to business owners. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key global stakeholders across the Enterprise.
The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses across the globe.
Key Responsibilities:
- Develop AI solutions to solve business problems across Global Risk Management, such as NLP to analyze latest news, predictive model to forecast market trends, etc.
- Develop advanced analytics and visualization to help understand AI outputs, and highlight useful insights for business users.
- Identify alternative mathematical approaches and implementations to benchmark existing AI models to enhance their performance and efficiency.
Essential Business Experience and Technical Skills:
Required:
- Graduate degree in a quantitative field (e.g., advanced mathematics, statistics, physics, or computer science).
- Very strong mathematical background and experience in programing languages such as Python and C#.
- Demonstrated ability to work as part of a team and collaborate with others to produce successful results.
Preferred:
- Experience with data analytics and machine learning packages in Python.
