Senior Analytics Engineer, Regulatory Reporting

Underdog is a sports technology company building products across fantasy sports, sports betting, and prediction markets. The Senior Analytics Engineer will own and build the regulatory reporting data platform, including dbt models, automated validations, resilient pipelines, and reporting infrastructure. The role also partners with regulators, engineering, product, compliance, and leadership to support audits, investigations, monitoring, and platform governance.

Responsibilities:

• Own requirements for our regulatory reporting data platform, working directly with regulatory bodies to define and refine what's needed as prediction markets continue to evolve
• Design and architect purpose-built dbt models and pipelines connected directly to raw data, powering our full suite of regulatory reports independent of upstream analytics models
• Define the automated validation layer: test cases, cross-validation of reporting outputs, and alerting so that when something breaks, the team knows exactly what and why
• Lead audit and exam support, own the data side of exam responses, and represent the team with regulators and internal compliance
• Drive break investigations to root cause, own the engineering relationship, and set the standard for how permanent fixes get scoped and shipped
• Design and lead the on-call rotation framework for the broader team
• Define how upstream data changes from product and engineering get monitored and governed through the reporting layer
• Own the roadmap for surveillance reporting, market maker monitoring, and pre-launch submission validation as the function grows

Requirements:

• You want to build a platform, not maintain a spreadsheet
• You think in systems, pipelines, and automation, and you know what it takes to build something that runs reliably
• You're comfortable in raw data, you chase root causes, and you don't stop until you know exactly what happened and why
• You can hold a conversation with a regulatory body, translate ambiguous requirements into data definitions, and represent the team externally
• You understand what it means to own a process with a hard cutoff
• You're accountable, you communicate early when something looks off, and you don't leave things for someone else to catch
• You can write complex queries, build modular dbt models with proper testing, and you care about the quality of what you ship
• You want a role where your work touches engineering, product, compliance, and leadership
• You thrive when you can see how everything connects
• Experience in a federally regulated environment at a prediction markets platform, fintech, crypto exchange, or neobank
• Background in regulatory reporting, reconciliation, or trade-level data at a tech-forward financial company
• Experience in the sports industry, particularly fantasy sports or sports betting
• Experience building automated reporting pipelines or validation frameworks from scratch
• Experience with data contracts, schema registries, or similar approaches to managing upstream data dependencies
• Familiarity with FIXML, FIX protocol, or other financial message formats used in trade reporting
• Familiarity with orchestration tooling (Airflow or similar) and pipeline monitoring
• Python for data investigation, tooling, or lightweight automation
• Any exposure to prediction markets, derivatives, or exchange operations