- 115,000 - 175,000
- New York, New York
115,000 - 175,000
New York, New York
Hybrid - 3 days per week
Location Designation
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.
This position is hybrid - Tuesday - Thursday in the New York Office and Monday and Friday work from home.
The ALM & Investment Strategy Team at New York Life partners with businesses, finance community and asset management teams to develop and implement ALM and Investment strategies that help the business meet their strategic and financial objectives. A major contributor to effective ALM is robust
As part of the team, you will work on research and development of state-of-the-art pricing, forecasting, and hedging models of traditional and exotic fixed income and equity assets and insurance liabilities with embedded options. The role requires strong mathematical and statistical, 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 methods for asset and liability price modeling and forecasting, ALM & investment strategy development, and to work on challenges and solutions that dominate leading-edge ALM discussion today.
KEY DUTIES & RESPONSIBILITIES
- Serve as the quantitative researcher and 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.
- Research and Development of novel Forecasting and Risk management models based on the latest developments in asset pricing and risk modeling theory.
REQUIRED EDUCATION/TRAINING & EXPERIENCE
- Several years of experience working in financial industry as a quantitative developer or a PhD in a technical field (Mathematics, Computer Science, Physics, Statistics, etc.) is required.
- Experience building sophisticated statistical models based on advanced theoretical concepts. Financial experience is a plus but not necessary.
- Advanced knowledge of numerical methods and statistical data analysis methods applied to large data sets.
- 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
- Willingness to learn new theories and applied methods in a fast and efficient manner.
- Excellent communication and technical writing skills.
- Effective time management and project coordination skills to handle multiple projects.
#LI-VL1
$115,000-$175,000
Salary range
Exempt
Overtime eligible
Yes
Discretionary bonus eligible
No
Sales bonus eligible
Click here to learn more about our
. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
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Were 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
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Job Requisition ID90352