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2025 Asset Liability Management Summer Internship

New York Life Insurance Co
New York, NY, US
Full-time

Location Designation : Hybrid - 3 days per week

Shape your future with a dynamic internship experience at New York Life. We offer opportunities across a variety of exciting businesses, including Actuarial, AI & Data, Finance, Investments, Technology, Underwriting, and more.

Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere.

You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events.

By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.

Role Overview :

The Asset Liability Management (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 may span modeling of traditional and exotic fixed income and equity assets, designing and implementing both model and platform improvements as well as on going production responsibilities.

The program offers 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 discussions today.

This is a structured 11-week program starting in late May and ending in August.

The role requires strong knowledge of statistics or financial engineering, and strong coding skills, as well as the ability to work effectively as part of a larger interdisciplinary team of quantitative finance and insurance professionals.

What You’ll Do :

As an ALM intern, you will have the opportunity to work closely with other areas such as Finance, Actuarial, Risk Management and Investments, as well as the Business Units, regarding quantitative modeling efforts.

You will also have the opportunity to :

  • Serve as a quantitative developer to build new capabilities and maintain existing code infrastructure of our ALM platform
  • Partner with sector specialists, investment accounting, asset data and 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 new quantitative modeling methods for stochastic modeling of assets and liabilities with embedded optionality
  • Research quantitative investment strategies
  • Improve and automate the production processes
  • Complete challenging assignments and practical on the job experience
  • Develop your skills in the form of training and online courses (i.e. Python)
  • Network with NYL actuaries and professionals including those in senior management
  • Potentially secure a full-time position with New York Life
  • Participate in group volunteer event(s)

What You’ll Bring :

You will bring a desire to learn more about New York Life. You have strong written, oral and interpersonal communication skills with and analytical mindset.

You will bring a strong knowledge of statistics or financial engineering, strong coding skills and the ability to work effectively as part of a larger interdisciplinary team of quantitative finance and insurance professionals.

Required Skills :

  • Currently working towards an Undergraduate, Graduate or PhD degree with an accredited college or university
  • Preferred majors in Statistics, Data Science, Computer Science, Mathematics, or Financial Engineering
  • Excellent programming skills in an objected oriented language such as Python / C++ / VB.Net / C#. Familiarity with both relational and object data bases

Preferred Skills :

  • Cumulative GPA of 3.0 or higher
  • Ability to think outside the box as well as work independently and be a thought leader for others

Applications will be reviewed on a rolling basis and interviews will begin mid-September.

ALMcampus

LI-CP1

Pay Transparency

Salary Range : $28-$32 / hour

Overtime eligible : Nonexempt

Discretionary bonus eligible : No

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 full-time 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 .

Job Requisition ID : 90612

30+ days ago
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