DraftKings is seeking a Director, Risk Detection & Mitigation to lead the strategy for detecting and mitigating customer risk across the entire player journey. This is a hands-on, high-impact leadership role where you will be the go-to voice for integrating tools, models, and intelligence to keep the platform safe while balancing innovation with operational efficiency.

What You'll Do

Develop and implement a comprehensive risk detection strategy aligned with organizational goals and regulatory requirements.
Identify, assess, and prioritize risk factors impacting operational performance and strategic objectives.
Work closely with Operations, Product, Analytics, and Data Science teams to create efficient processes for risk identification and mitigation.
Utilize third-party, analytics and data science tools to enhance risk detection capabilities.
Serve as the singular point of contact for the development of predictive models, machine learning algorithms, and real-time risk monitoring dashboards.
Lead periodic risk assessments across the entire customer journey and create detailed reports with actionable insights.
Present findings to executive leadership and stakeholders to ensure data-driven decision-making on risk management strategies.
Ensure risk detection frameworks comply with all relevant regulatory requirements.
Collaborate with Regulatory and Compliance departments to stay updated on emerging regulations.
Lead and develop a team of risk analysts, fostering a collaborative environment that encourages innovation.
Mentor team members to build expertise in risk management and data-driven decision-making.

What We're Looking For

At least 8 years of experience in risk management, fraud detection, or related roles in technology or regulated industries.
Bachelor’s Degree in Finance, Risk Management, Data Science, Statistics, Economics, or a related field.
Deep understanding of risk detection technologies and their real-world application across tools, models, and machine learning.
Experience with third-party platforms used for fraud or risk analytics (e.g., Sift, NOTO, Braintree).
Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
A strategic mindset with the ability to synthesize complex systems into clear decisions and frameworks.
Strong cross-functional collaboration and communication skills, especially with executive audiences.
Experience leading and mentoring analysts or risk professionals, with a passion for team development and innovation.