The Quantitative Research Sales Analytics group is looking for a strong Quantitative Researcher who will leverage their data and analytical skills to help drive efficiency, resource allocation, and monetization across our Sales business. The successful candidate will have a good understanding of equity markets and trading, strong knowledge of statistical methods including machine learning, strong Python programming skills and outstanding communication skills.
Responsibilities:
- Work closely with Sales to build analytics and processes that enhance the way we service clients
- Proactively identify opportunities for QR to leverage data and analytics to enhance the Sales business
- Innovate and evolve core predictive models, leveraging a combination of diligent data analysis, traditional statistical reasoning, and advanced machine learning techniques
- Diligently architect and manage the evolution of the code base, including collaborating with other teams to maximize scale and leverage across the organization
Qualifications and Relevant skills:
- Graduate degree (MS or PhD) in a quantitative field (Mathematics, Physics, Statistics, Economics, Computed Science...)
- At least 5 years of experience working in a quantitative group covering investment and/or trading businesses
- Demonstrated experience applying statistical and/or machine learning techniques in the financial industry
- Strong Python programming, including code architecture. Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
- Experience working with equity position and market data
- Autonomy, excellent communication and strong motivation
