Fanatics Betting & Gaming is looking to improve the performance and strategic direction of its Trading Department by enhancing pricing accuracy, strengthening risk management, and increasing operational efficiency.
Requirements
- Advanced SQL skills are essential as this will be the key language used within this role.
- Experience with CTEs & Sub Queries
- Experience with Window Functions
- Experience with Data Transformation Functions
- Experience with Aggregations & Groupings
- Experience with Data Quality & Integrity
- Experience with Optimization & Debugging
Responsibilities
- Lead complex analytical projects that support pricing, margin optimization, and risk management decisions.
- Build, manage, and maintain reports and dashboards that promote self-service, consistency, and accuracy.
- Develop and maintain robust data models that enable scalable, detailed, and reusable analysis.
- Identify performance issues and opportunities, and drive improvements independently and in collaboration with relevant stakeholders.
- Translate analytical findings into clear, compelling narratives for both technical and non-technical audiences.
- Contribute to continuous improvement of internal processes, tooling, and team workflows.
- Help shape and communicate the narrative around Trading performance.
Other
- 3–5 years of experience in a trading, analytics, or quantitative role, ideally within the betting and gaming industry or a comparably fast paced, data rich environment.
- Experience with Python, R, or similar tools is a plus.
- Data visualization and storytelling experience using tools such as Tableau, Looker, Power BI.
- Hands on experience building and maintaining data models in tools like DBT, Databricks, or other modern data stack components.
- Comfortable with version control systems (Git), collaborative development environments, and working within modern analytics workflows (e.g., notebooks, repositories and branches.
- Deep understanding of trading fundamentals, including pricing, margin, and risk models.
- Proven ability to independently solve complex problems, applying sound analytical approaches aligned with business goals.
- Excellent communication skills, with a track record of influencing decisions through insight and data storytelling.
- Collaborative and proactive team player with a growth mindset and high standards for clear and diligent analysis.
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science.
- Working with semi-structured data ie in JSON format.
- Experience or interest in the sports/betting industry are a bonus but not required.
- Salary Range: $100,000-$145,000 per year
- no visa sponsorship available
