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Garda Capital Partners

Associate Portfolio Manager

Posted Yesterday
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In-Office
New York, NY, USA
118K-190K Annually
Mid level
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In-Office
New York, NY, USA
118K-190K Annually
Mid level
The Associate Portfolio Manager manages a mortgage derivatives portfolio, analyzing datasets, implementing trading strategies, and collaborating with senior management on investment decisions.
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Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. 

Position: Associate Portfolio Manager

Garda Capital Partners LP seeks a full-time Associate Portfolio Manager based in New York, NY.

Job Description: Responsible for managing a relative value portfolio using mortgage derivatives while communicating broad trading ideas with senior management on a weekly basis. Support the investment management team in New York by focusing on discretionary and systematic relative value opportunities in mortgage derivative markets; utilizing qualitative and quantitative analysis along with proprietary trading systems to manage their own portfolio, monitor individual positions, and report the overall portfolio risk to Portfolio Managers. Additional job duties include: (1) performing financial modeling, valuation analyses, and due diligence to support investment decisions while reviewing and implementing investment strategies and structures, and contributing to the reporting and tracking of existing themes; (2) working collaboratively with management teams, other Garda investment professionals, and counterparties; (3) completing investment process from origination and research, of both systematic and discretionary ideas, to trade execution and portfolio management; (4) utilizing programming language, Python; (5) analyzing larger datasets for mortgage prepayments, automating processes, and developing analytical tools, using machine learning and statistical algorithms; (6) utilizing sector specific products including YieldBook and RiskSpan to analyze prepayments in mortgage products and develop trade ideas in mortgages; (7) implementing trading strategies, monitoring portfolio risks, and facilitating PNL generation; (8) CMO structuring and hedging with TBA, USTs, futures, and swaptions; and (9) cultivating established relationships with at least five of the major Wall Street mortgage trading desks.

Minimum Requirements: This position requires a Master’s degree or equivalent in Financial Engineering, Finance, Mathematics, or a related field and two years related experience. Must also have 18 months of experience with each of the following:

  • Completing investment process from origination and research, of both systematic and discretionary ideas, to trade execution and portfolio management;
  • Utilizing programming language, Python;
  • Analyzing large datasets for mortgage prepayments, automating processes, and developing analytical tools using machine learning and statistical algorithms;
  • Utilizing sector-specific products including YieldBook and RiskSpan to analyze prepayments in mortgage products and develop trade ideas in mortgages;
  • Implementing trading strategies, monitoring portfolio risks, and facilitating PNL generation;
  • CMO structuring and hedging with TBAs, USTs, futures, and swaptions; and
  • Cultivating established relationships with at least five of the major Wall Street mortgage trading desks.

Employer will accept experience gained concurrently. Will accept experience gained before, during, or after Master’s program. Base Salary: $118,248 to $190,000/year.

This role is also eligible for other forms of compensation and benefits, such as a discretionary bonus, healthcare plan, 401(k) matching program, etc. Within the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education.

Base Salary for this role is expected to be between:
$118,248$190,000 USD

Top Skills

Machine Learning
Python
Riskspan
Statistical Algorithms
Yieldbook

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