Quantitative Analyst

Why work for us?

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world‑class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

• Clients Come First - Always
• Execution Supersedes Intention
• Together We Win
• Diversity Improves Results
• Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Janus Henderson Investors US, LLC seeks a Quantitative Analyst in New York, NY to develop quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. Develop systematic credit alpha signals to be implemented in both systematic and traditionally fundamental portfolios, use large language models to analyze and build signals based on natural language documents and company filings, and contribute to the design and creation of a quant scoring framework to systematically analyze the entire universe of corporate debt issuers.

Help design and launch new investment products based on this quant framework and develop models and tools to help fundamental credit research analysts generate insight into sectors and companies.

Remote work permitted 2 days a week.

• Develop quantitative techniques for securities, equities, pricing, and valuation.
• Create systematic credit alpha signals for systematic and fundamental portfolios.
• Leverage large language models for signal generation from natural language documents.
• Design a quant scoring framework for corporate debt issuers.
• Assist in launching new investment products and building tools for research analysts.

• Master’s degree in quantitative finance, computational finance, or a related field.
• Minimum 3 years of experience.
• Experience in fixed‑income portfolio optimization and asset allocation.
• Quantitative research and strategy for asset classes such as high yield or corporate credit.
• Back‑testing quantitative strategies with machine learning for new pricing and alpha models.
• Programming skills in Python, R, Matlab, and SQL.

Salary range: $125,000 - $150,000.
Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the "Why Join Us" section on the career page here ().

To apply, please visit  (Job Req # 31101)

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.

You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role.

JHI will not maintain or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by JHI at its sole discretion).