DraftKings
Senior Lead Trading Strategist
Remote - US · Senior · Full-time
Sponsorship not specifiedDetected 123 days ago
PythonJavaC++C#ReactMachine LearningPyTorchPandasNumPyResearchLeadershipCommunication
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.
- Our teams are energized by innovation and readily embrace emerging technology.
- We're not waiting for the future to arrive.
Responsibilities
- Lead the design, implementation, and continuous refinement of market-making and trading strategies informed by market microstructure, participant behavior, and risk constraints.
- Develop and oversee real-time decision engines that price markets, optimize inventory, and react to high-frequency event streams.
- Strong leadership and communication skills, with a demonstrated ability to lead complex technical initiatives and influence cross-functional teams.
Requirements
- Strong proficiency in Python (including NumPy, Pandas, and PyTorch) and experience with C++, C#, Java, or Rust for performance-critical systems.
Compensation
- The US base salary range for this full-time position is 184,000.00 USD - 230,000.00 USD, plus bonus, equity, and benefits as applicable.
Benefits
- Communicate strategy vision, system behavior, and business impact clearly to technical and non-technical stakeholders, influencing decision-making across teams.
- At least 7 years of experience in machine learning, quantitative modeling, or algorithmic strategy development.
Company info
- At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas.
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This listing is sourced directly from DraftKings's careers page and normalized into a canonical job model.