Senior Associate – Quant Analyst – New York Life Insurance Co

Job Description

Location Designation: Hybrid

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 ALM & Investment Strategy Team’s mission at New York Life is to effectively partner with the business, finance, and asset management teams to research, develop, and implement Investment strategies that help meet business and financial objectives. These goals heavily depend on robust models and data. This role will have broad responsibilities over the company’s quantitative modeling and projection capabilities.

Responsibilities will include modeling of traditional and exotic fixed income and equity assets, proxy modeling and optimization techniques, designing and implementing both model and platform improvements, and ongoing production responsibilities. The role requires strong financial engineering and statistic, as well as coding skills. Also important is effective communication and close coordination with other members within the Asset Liability Management team, Enterprise Technology, and business stakeholders. This person will interact closely with other areas such as Finance, Actuarial, Risk management and Investments, as well as the Business Unit areas regarding quantitative modeling efforts.

This role offers interested candidates the opportunity to learn both traditional and innovative methods for ALM & investment strategy development and to work on challenges and solutions that dominate leading-edge ALM discussion today.

Responsibilities
• Serve as the quant analyst to build new capabilities and maintain existing code infrastructure of our Asset Liability Modeling platform
• Partner with sector specialists, investment accounting, asset data & research teams to expand the company’s modeling capabilities, that includes a broad spectrum of the investment universe ranging from corporate bonds and structured products to alternative investment and derivatives.
• Research of new quantitative modeling methods for stochastic modeling of assets and liabilities with embedded optionality
• Calibration and valuation of Stochastic at Risk measures related to Surplus and Free Surplus
• Maintenance and enhanced automation of production processes, including generation of economic scenarios

Qualifications
• Excellent programming skills in objected oriented and procedural languages such as Python / MATLAB / R / C++ / VB.Net / C#. Familiarity with both relational and object databases
• Bachelor’s degree preferred, Strong quantitative skills, with a degree in a technical field like Mathematics, Computer Science, or Financial Engineering.
• 2+ years of experience building models, preferably targeted at financial instruments, insurance products or capital markets.
• Excellent communication and technical writing skills.
• Effective time management and project coordination skills to handle multiple projects.
• Familiarity with Intex, Andrew Davidson, Aladdin, Beacon, Moody’s Scenario Generator is a plus.

Other Desired Skills
• Ability to think outside the box
• Ability to work independently as well as be a thought leader for others
• Ability to work with tight deadlines and changing priorities and requirements
• Ability to create effective partnerships with diverse roles and positions throughout the organization.

Salary range: $72,500-$107,500

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.