About Us: Scalar Field (https://www.scalarfield.io) is an early-stage startup backed by top-tier Silicon Valley venture capital firms. We're developing an innovative research platform that allows users to explore and back-test trading ideas. Our work involves tackling complex challenges in long-term planning to create a robust and sophisticated system.

Role: We're seeking a talented Quantitative Researcher to help develop our cutting-edge backtesting system. You'll apply advanced machine learning and AI techniques to create a platform that translates user queries into actionable trading research. A significant portion of your work will involve dealing with derivatives datasets.

Requirements:

Solid understanding of derivatives and rates markets, including various derivative products, pricing models, and risk factors
Strong background in machine learning and artificial intelligence.
Excellent problem-solving skills and ability to tackle complex, multi-faceted challenges

Preferred Qualifications:

Experience in solving problems related to long-term planning in AI systems
Advanced understanding of derivatives pricing, hedging strategies, and risk management
In-depth knowledge of interest rate markets, yield curves, and related financial instruments
Understanding of financial market structures and trading mechanics

We Offer:

Competitive salary and equity package
Opportunity to work on cutting-edge problems in ML/AI while building a revolutionary product
Collaboration with a world-class team of researchers and engineers
Resources to continue learning and growing your expertise

If you're passionate about solving complex ML/AI challenges, have a strong background in derivatives and rates markets, and are excited about working extensively with derivatives datasets to make quantitative trading research accessible, we want to hear from you!

Scalar Field jobs

Quantitative Analyst