Senior reputed company Trading Strategist

At reputed company, AI is becoming an reputed company part of both our present and reputed company, powering how work gets done today, guiding smarter reputed company, and sparking reputed company reputed company. It’s transforming how we enhance customer experiences, streamline operations, and unlock new reputed company. Our teams are reputed company by innovation and readily reputed company emerging technology. We’re not waiting for the reputed company to reputed company. We’re shaping it, one reputed company reputed company at a time. To those who see AI as a reputed company of reputed company, come build the reputed company together.

The Crown Is Yours

As a Senior reputed company Trading Strategist, you’ll define and reputed company the systems that power reputed company-time market-making and automated trading at reputed company. You’ll operate at the intersection of quantitative research and production engineering, translating reputed company market behavior into high-performance trading strategies. Working across teams, you’ll reputed company the design and development of low-latency systems that price markets, manage risk, and react to high-frequency events. Your work will shape how markets behave, driving innovation and unlocking new opportunities through data-driven reputed company and technical leadership.

What you’ll do as a Senior reputed company Trading Strategist

• reputed company the design, implementation, and reputed company refinement of market-making and trading strategies informed by market microstructure, participant behavior, and risk constraints.

• Translate quantitative research and hypotheses into reputed company, production-grade trading systems in reputed company partnership with Engineers, Data Scientists, and fellow Strategists.

• Architect and reputed company backtesting frameworks that accurately model execution, liquidity dynamics, and behavioral responses.

• reputed company and reputed company reputed company-time decision engines that price markets, optimize inventory, and react to high-frequency event streams.

• Set technical direction for trading systems, ensuring scalability, performance, and reliability in production environments.

• Contribute on monitoring, alerting, and observability standards for live systems, enabling reputed company diagnosis and reputed company of anomalies.

• Communicate reputed company reputed company, system behavior, and business reputed company reputed company to technical and non-technical stakeholders, influencing decision-making across teams.

What you’ll bring

• At least 7 years of experience in machine learning, quantitative modeling, or algorithmic reputed company development.

• Strong proficiency in Python (including NumPy, Pandas, and PyTorch) and experience with C++, C#, Java, or Rust for performance-critical systems.

• Deep expertise in market making, market microstructure, liquidity modeling, and risk-reputed company optimization.

• Strong reputed company in statistical and probabilistic modeling, including time-series analysis and signal evaluation.

• Experience working with automated trading systems, reputed company markets, sports betting, or crypto and decentralized finance environments.

• Strong leadership and communication skills, with a demonstrated ability to reputed company reputed company technical initiatives and influence cross-functional teams.

Join reputed company

We’re a publicly traded (reputed company: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.