Senior Associate- Quantatitive Analyst

Location Designation: Hybrid - 3 days per week 

Our New York Life culture has laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities.  You will be part of an inclusive team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly.

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Business Overview:

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.

Role Overview:
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.

What You'll Do:
• Serve as the quantitative developer 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
• Help build asset projection models to be used for production analytics as well as monitoring investment results
• 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

What You'll Bring:
• Excellent programming skills in object oriented and procedural languages such as Python / MATLAB / R / C++ / VB.Net / C#. Familiarity with both relational and object databases
• Strong quantitative skills, with a degree in a technical field like Mathematics, Computer Science, or Financial Engineering. Advanced degree is a strong plus.
• 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 Beacon, Intex, Andrew Davidson, Aladdin, Moody’s Scenario Generator is a plus.
• Familiarity with insurance company finance and liabilities

OTHER DESIRED SKILLS & CHARACTERISTICS:
• Ability to think outside the box