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.

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New York Life Insurance Company Senior Associate - Model Validation and Governance in Remote, New York

Location Designation: [[cust_rolelocationdesignation]]

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 Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( https://www.newyorklife.com/careers/corporate/data-science ). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company. We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company.

In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and data science product managers.

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 working closely with data scientists and data engineers to ensure proper modeling processes are following 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: Masters degree or higher in statistics, computer science, mathematics, economics, engineering, or other 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

#LI-JG1

Salary range: [[cust_salaryRangePosting]]

Overtime eligible: [[customString6]]

Discretionary bonus eligible: [[cust_merit]]

Sales bonus eligible: [[stockPackage]]

Click here to learn more about ourbenefits (https://www.newyorklife.com/careers/corporate/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 (https://www.newyorklife.com/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 visitLinkedIn (https://www.linkedin.com/company/newyorklife/) , ourNewsroom (https://www.newyorklife.com/newsroom/) and theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .

Job Requisition ID: [[id]]

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