MASS Quantitative Developer

As a MASS Quantitative Developer at DRW, your responsibilities will include building the systematic trading infrastructure for futures and equities, collaborating with portfolio managers to implement strategies, and developing next-generation execution infrastructures. You'll also focus on ensuring high reliability and resiliency standards through design and tooling optimizations, as well as constructing strategy simulation infrastructure.

To qualify for the MASS Quantitative Developer role at DRW, candidates should have a minimum of 5 years of experience in a similar capacity at a multi-manager hedge fund or investment bank. Experience working on a systematic trading desk, building real-time analytics and trading systems, and developing tech infrastructures surrounding observability and recovery is essential. An expert-level proficiency in Python is required, while knowledge of C++ is preferred.

DRW supports the development of its MASS Quantitative Developers through a culture of innovation and collaboration. You'll work closely with experienced professionals and have the opportunity to build industry-leading trading systems. The company also emphasizes a learning environment where you can thrive on challenging the status quo and continuously improve your skills.

The annual base salary for the MASS Quantitative Developer position at DRW ranges from $175,000 to $225,000, dependent on the candidate's experience, qualifications, and skills. Additionally, this position is eligible for an annual discretionary bonus, making it a lucrative opportunity in the trading industry.

DRW offers a comprehensive suite of benefits to its employees, including group medical, pharmacy, dental, and vision insurance, a 401k plan with discretionary employer matching, short and long-term disability, and life insurance. Other benefits include health savings accounts and flexible spending accounts, ensuring that employees are well supported both professionally and personally.

To answer this question, share specific examples of your work on a systematic trading desk, highlighting the strategies you contributed to and the technologies you used. Explain how your experience prepares you to tackle the responsibilities of the MASS Quantitative Developer role at DRW.

In your response, discuss how real-time analytics improves trading decision-making, enhances execution speeds, and helps manage risks. Provide examples of technologies or frameworks you have worked with that support real-time analytics.

Focus on your expert-level skills in Python, mentioning any relevant libraries or frameworks you've utilized for quantitative development. If applicable, also touch on your experience with C++ and any other technologies relevant to trading systems.

Discuss your approach to designing robust system architecture, implementing appropriate observability tools, and your strategies for optimizing performance. Provide examples of challenges you faced and how you overcame them to maintain system integrity.

In your answer, detail the purpose of the model, the data used, the methodologies applied, and the outcomes. Highlight how the model contributed to the trading strategies you were involved in.

Emphasize your communication skills and your understanding of the traders' needs in a systematic trading environment. Share an example of a successful collaboration with portfolio managers where your contributions led to the effective implementation of a trading strategy.

Discuss specific challenges such as system latency, data accuracy, or integration issues, and describe the steps you took to resolve those challenges. This shows your problem-solving abilities and technical expertise.

Share your vision of how technology such as machine learning and big data will shape the landscape of quantitative trading. Discuss trends you are observing and how you intend to stay ahead of these changes in your role.

Illustrate your adaptability by discussing a scenario where market conditions changed rapidly or a project requirement shifted. Explain how you received the feedback, adapted your approach, and what the final outcome was.

Reflect on your motivations for working in this field, emphasizing your love for problem-solving, your keen interest in financial markets, and the excitement of developing technologies that lead to innovative trading strategies.