Remote Regulatory Analytics Engineer: Data Platform Lead

OpenKrill

United States

Remote

USD 160,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Unlimited PTO
Parental leave 16 weeks
Home office stipend
Remote-friendly culture
Offsite events

Job summary

Underdog is seeking a Senior Analytics Engineer to own the data platform powering our prediction markets business. This high-impact, zero-to-one role involves building the regulatory reporting infrastructure from the ground up, in collaboration with regulators, engineering, product, compliance, and leadership.

You will develop purpose-built dbt models, automated validations, and resilient pipelines, aiming for a platform that operates with minimal manual intervention as the function scales.

Qualifications

  • Strong SQL skills and dbt modeling for data platforms.
  • Experience building and validating data pipelines.
  • Experience with Python for data analysis or automation.

Responsibilities

  • Own the regulatory reporting data platform and define data requirements with regulators.
  • Design and architect dbt models and pipelines connected to raw data for regulatory reports.
  • Define automated validation layer with test cases and alerting.
  • Lead audit and exam support with regulators and internal compliance.
  • Drive root-cause investigations and establish permanent fixes.
  • Design and lead the on-call rotation for the team.
  • Monitor upstream data changes and governance through the reporting layer.
  • Own the roadmap for surveillance reporting and pre-launch validation.

Skills

SQL
dbt
Python
Data pipelines

Tools

Airflow
Data validation tools

Job description

Underdog is seeking a Senior Analytics Engineer to own the data platform powering our prediction markets business. This high-impact, zero-to-one role involves building the regulatory reporting infrastructure from the ground up, in collaboration with regulators, engineering, product, compliance, and leadership.

You will develop purpose-built dbt models, automated validations, and resilient pipelines, aiming for a platform that operates with minimal manual intervention as the function scales.

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