Quantitative Researcher - Experienced Hire
Indexed description
What We're Looking For
- PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or related discipline
- Foundational knowledge of probability and statistics (a theoretical understanding as you will be spending much of your time modeling various financial problems)
- Experience working with and drawing conclusions from large datasets is a must
- Building statistical forecasting models to impact real-time problem sets and drive insight to relevant markets
- Strong practical computing skills in object-oriented languages
- Creatively and drive to challenge standard methods and come up with innovative new approaches
- Having a proficiency in coding cleanly and efficiently is a plus (Python preferred)
- Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial
- Naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow
- A flat structure of collaborative environment of highly technical colleagues with a fierce passion for what they do
- Industry-leading resources and technology infrastructure from one of the largest proprietary trading firms to support your day-to-day mandates
- Extensive training, learning, development programs led by some of the top performers in the firm
- Tangible mentorship and cross-collaboration between trading, research, and development teams fostering an environment of openness and knowledge sharing
- Real impact through solving complex technical challenges, working alongside other quantitative researchers and collaborating with traders to solve some of the most challenging research problems with real-time impact.
If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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