Jr Quant Modeler


Division

Financial Services

Location

New York, New York

Employment Type

Permanent



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A growing multi-strategy Hedge Fund Head Quartered in New York with ~2.5Bil AUM and a strong track-record since its inception. They have offices in LA, London & Singapore with approximately 120 employees world-wide. With their growth, they're looking to add key hires across levels and functions. Our Client is looking to hire a Junior Quantitative Modeler who will work directly with Structured Credit Portfolio Team in their New York HQ offices. 

Job Description:


Compensation : $100000 - $150000
Job ID : 13742

These junior Quant Researchers / Modelers will work with Portfolio Managers, front-line Risk Professionals and their teams modeling out trades & accompanying risk, optimize trades, develop Python scripts to automate risk reporting & enhance efficiency, and perform ad hoc projects as required.


Job Requirements:


 

  • 2 - 5 years’ experience within top Investment Bank or Hedge Fund
  • Bachelor's degree with STEM background preferred; advanced degrees or CFA a plus
  • Strong Python skills testing >800 on Hacker Rank test
  • Strong working knowledge of SQL
  • Familiarity/experience with Structured Credit Products preferred; Equities; CRE; Vol; FI; Futures
  • Strong communications skills with the ability to create and present to investment & risk committees as necessary
  • Ability to work in-office 5 days/week in New York City
  • Authorization to work in US
  • Full vaccination including booster

 

Disclosure:  The hourly rates and/or salaries listed may or may not reflect total compensation packages including bonus and fringe benefits, etc., nor are the advertisement(s) posted a guarantee of a certain compensation package for a position or bona fide offer of employment.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

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