Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

MetLife AI Model Risk Analyst in Whippany, New Jersey

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 whose primary role is to manage risk and uncertainties arising from the use of models.

This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models include those internally developed or purchased from vendors and are used across the Enterprise in functions ranging from pricing to business operations.

The candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. 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:

  • Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns

  • Review and assess model risks and controls as well as provide recommendation for remediating actions

  • Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence

  • Contribute to and coordinate with functional partners to ensure a holistic view of AI risks

  • Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed

  • Quantitatively assess fairness for select AI models through independent analyses

  • Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations

Essential Business Experience and Technical Skills:

Required:

  • Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science) or/and ASA (Associate of the Society of Actuaries)/FSA (Fellow of the Society of Actuaries).

  • Experience in end-to-end statistical, ML or AI model development

  • Solid programming skills for models and data using Python, R, and/or C#

  • Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business

  • 3+ years of experience

Preferred:

  • Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each

  • Experience with a variety of model development and deployment platforms

  • Experience with insurance or broader financial services

Equal Employment Opportunity/Disability/Veterans

If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

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