Associate, ALM & Investment Strategy Analyst
New York, NY, US
Full Time Entry-level / Junior USD 62K - 110K
New York Life Insurance Co
Protect and build your future with comprehensive one-on-one guidance from New York Life. Learn about our life insurance and financial product offerings.Job Requisition ID: 91147
Location Designation: Hybrid - 3 days per week
Join Corporate Finance where expertise meets strategic impact. Partner with diverse business units, providing financial insights and guiding sound decision-making. You'll work collaboratively to ensure data accuracy, implement robust controls, and safeguard policy owner interests. Become part of a team dedicated to financial stewardship, enabling business performance, and paving the way for a secure future for generations to come.
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.
Role 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. 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 quantitative developer to build new capabilities and maintain existing code infrastructure for the investment income and asset allocations models, and other Asset Liability Models.
- Provide support to Finance senior management and other business units:
- Regular production of projected investment portfolio analytics such as net income, portfolio yields, exposures and free cash flows.
- Financial risk exposure measured in financial greeks and Scenario Analysis.
- Analysis and attribution of portfolio performance.
- Maintenance and enhanced automation of production processes.
What You'll Bring:
- Experience programming in an object oriented or procedural languages such as Python, R, C#, or C++.
- Experience programming in SQL and querying relational databases.
- Familiarity with data visualization techniques. Tableau experience is a plus.
- Master’s or Bachelor’s degree in a technical field like Mathematics, Statistics, Actuarial Science, Computer Science, or Financial Engineering. Progress towards an advance certification such as FSA or CFA is encouraged.
- Experience building financial models, preferably targeted at fixed income asset or derivatives, insurance products or capital markets.
Other Desired Skills
- Excellent communication skills both verbal and written.
- Effective time management and project coordination 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.
- Ability to adapt and learn new skills as needed.
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Pay Transparency
Salary Range: $62,400-$110,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Diversity Promise
We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.
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. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Tags: Computer Science Data visualization Engineering Finance Mathematics Python R RDBMS Research Security SQL Statistics Tableau
Perks/benefits: Career development Equity / stock options Salary bonus Transparency
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