Quantitative Research Analyst

Candidates must possess an advanced degree in a quantitative discipline such as mathematics, science, engineering, statistics, or physics. They should have statistical modeling expertise with consumer credit, including mortgage, auto, loan, and student loans, and familiarity with Intex and bond cash flow modeling is a plus. The role requires strong quantitative skills in financial mathematics, probability, and statistics, with at least two years of front office quant experience at a top sell or buy side firm. Proficiency in scripting languages like Python or Slang, experience analyzing large datasets using R/SAS/Python and SQL, strong attention to detail, and the ability to deliver results are essential. The ideal candidate is a self-starter who is accountable, low ego, motivated by integrating with the trade floor, and able to articulate issues clearly to portfolio managers and developers.