Senior Associate - Model Validation and Governance

Location Designation: Hybrid - 3 days per week 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. 

The AI & Data team is the 100-person innovative corporate Data Science group within New York Life, led by Chief Data & Analytics Officer. We are a rapidly growing entrepreneurial department which designs, creates, and deploys innovative data-driven solutions for many parts of the enterprise. For more opportunities in data science, please visit our website (https://www.newyorklife.com/careers/corporate/data-science

 

You will apply your highly developed technical predictive analytics skills to review and validate a variety of models, create and maintain an inventory of production models.

You will apply your communications skills to work closely with data scientists and data engineers to ensure proper modeling processes are followed during the model development lifecycle.

Responsibilities:

 

• Methodology review and leadership: Reviews model designs, statistical methodology and features. Explores methodology options, stays up to date on statistical/ML/AI methods research.
• Model validation: Performs independent validations of data and models prior to implementation. Validates model performance and business impact post-implementation.
• Builds challenger models as needed to compare with models being validated.
• Writes model validation reports summarizing findings from validations.
• Model inventory and maintenance: Maintains inventory of all statistical models running in production, with input data, use cases, benefits and risks (data, technical, privacy, regulatory, brand)
• Actively collaborates with the corporate model risk management team (financial, actuarial, etc. models)

 

 

Qualifications:

 

• Education: master’s degree or higher in statistics, computer science, mathematics, economics, engineering, or another technical field
• 3+ years in a similar role in statistical model risk management
• Experience in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, GBM, neural nets, feature engineering and selection, and validation. Experience with comparing methodologies
• Strong proficiency in programming using Python, R, and SQL
• Experience with statistical modeling using large and complex datasets.
• Strong verbal and written communications skills, listening and teamwork skills.

 

 

Salary range: $95,000-$145,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

 

Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

 

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of