Chase Global - Citadel EQR Quant Developer

Quantitative Developer

Equity Quantitative Research, Portfolio Monetization

Location: New York

Citadel is a worldwide leader in finance that uses next-generation technology and alpha- driven strategies to transform the global economy. They tackle some of the toughest problems in the industry by pushing themselves to be the best. They offer demanding work for the brightest minds, and wouldn't have it any other way. At Citadel, great ideas can come from anyone. Everyone. You. Team: Equity Quantitative Research (EQR) provides portfolio construction, risk management, and execution services for Citadel's Fundamental Equities businesses. Embedded within EQR, the

Engineering team is responsible for providing consistent, highly scaled services, environments, curated datasets, and libraries, to deliver a robust platform upon which users from several key Citadel businesses can efficiently research, trade, and run analytics. By building analysis tools into a common platform, we empower our colleagues to work more effectively and to easily share their research and collaborate on ideas. In addition to providing shared frameworks, we also help to make research and ideas production-ready and scalable, so they can be applied in Citadel's systematic trading environment.

Responsibilities:

The Portfolio Monetization team works on various central portfolios within the EQR team, with responsibilities spanning engineering, research, and trading. The investment mandate of these strategies span enhanced alpha capture/portfolio construction, optimal order execution, and risk management for the equities business.

The team works on:

• Building out and maintaining the end-to-end trading engines and back-testing platforms that drive these strategies: from data gathering to, portfolio construction, and order submission

• Work on post-trade analytics and pricing models

• Partnering with quantitative researchers to work on portfolio construction and trading research

• Partnering with traders to manage the portfolios on a day-to-day basis. Qualifications:

• BS or MS in a relevant and highly technical field (computer science, math, or other quantitative field)

• 4-15 years professional experience (finance industry experience not required)

• Strong coding skills required; Python preferred

• Strong interest in quantitative research (especially optimization techniques)

• Demonstrated interest in understanding business needs

• Ability to own end-to-end engineering processes in a highly collaborative environment