We are looking for a Quantitative Researcher to join a small dynamic group focusing on equity trading in our global trading division. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.

The team analyzes company trading activity to inform decision-making at the highest level of the firm. The work requires understanding equity markets and combines a systematized approach to portfolio risk management. The group’s broad mandate is optimization of firm wide execution through the evaluation of strategic and tactical trading choices, and the design/development of alternatives.

As a Quantitative Researcher on our team, you will have the opportunity to consult, advise, and assist traders and portfolio managers to improve their trading. You will collaborate with fellow technologists to improve our trading systems and build new products. You will assist with the evaluation and design of algorithms and other trading services. If you're passionate about systematic trade optimization & research, we'd love to hear from you.

Responsibilities

• Conduct research on various aspects of trade optimization
• Provide tools and data needed to trading team to help manage risk
• Design, build, and maintain trade execution signals and monitor business metrics
• Lead discussions about projects and generate ideas for potential areas of research
• Develop and contribute to CEB trading and research infrastructure such as alpha & research platform, Trading optimizer, Risk monitoring tools, Data strategy, and PNL attribution and reporting

Qualifications

• Experience with optimizing execution in areas for single/multi-period portfolio optimization, execution analysis, and extracting predictive trading signals from order or market data
• Strong technical & programming skills, with a focus on data analysis
• Experience with KDB+ preferred
• Experience in building trading applications in Java is a plus
• Knowledge of basic statistical modelling and techniques, experience with machine learning or probabilistic programming is a plus
• Strong communication skills with the ability to explain technical and sophisticated concepts clearly and concisely

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.