Akuna Capital

Junior Quantitative Researcher - Prediction Markets

Akuna Capital$145K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in a technical field (Engineering, Computer Science, Mathematics, Physics) or related subject.
  • Proficient programming skills in Python; C++ knowledge is a plus.
  • Solid understanding of Linear Algebra, Numerical Methods, Statistics, Optimization, and Machine Learning.
  • Strong interest in sports and quantitative modeling.
  • Experience in trading firms is valued but not necessary.

Responsibilities

  • Design and develop data capture pipelines for pricing sports contracts.
  • Develop and calibrate pricing models using historical data for in-play quoting.
  • Build and maintain tooling for all aspects of the research pipeline.
  • Collaborate with trading and development teams to deploy models into production strategies.
  • Adopt an ownership mentality when bridging research to production.

Benefits

  • Opportunity to directly impact a new desk at a trading firm.
  • Collaborative work environment with development and trading teams.
  • Potential for career growth within a company with deep trading expertise.
Full Job Description
What you'll do as a Junior Quantitative Researcher at Akuna:

Akuna's Prediction Markets team is looking to add a Junior Quantitative Researcher focused on sports related contracts. The successful candidate will play a crucial role in developing Akuna's sports pricing capabilities, working closely with development and trading teams to refine and deploy these models alongside our strategies. This position offers the opportunity to make a direct impact on an exciting new desk at Akuna. The ideal candidate will possess strong programming and analytical skills, a creative mindset, and a passion for sports. In this role you will:
  • Design and develop data capture pipelines to enable the pricing of a variety of sports contracts (match outcomes, player props, in-game events)
  • Develop and calibrate pricing models using historical data in service of in-play quoting of sports contracts.
  • Build and maintain internal tooling to facilitate all aspects of the research pipeline
  • Work closely with trading and development to deploy models into production trading strategies, bridging the gap from research to production with an ownership mentality

Qualities that make great candidates:
  • Bachelor's, Master's, or PhD degree in a technical field, such as Engineering, Computer Science, Mathematics, or Physics (or a related subject)
  • Proficient programming skills in Python (C++ is a plus)
  • Deep understanding of fields such as Linear Algebra, Numerical Methods, Statistics, Optimization, and Machine Learning
  • Strong interest in sports and quantitative modeling.

We are especially interested in high agency individuals who are keenly interested in sports and prediction markets. Previous experience at a trading firm is valued but not necessary. If you have a strong quantitative background, have been working on personal projects trading Kalshi or Polymarket, and you want the opportunity to grow at a company with deep trading expertise, we want to hear from you!

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