About the company
Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals.
Responsibilities
- Work closely with Compliance stakeholders to analyze key risks and data requirements across AML, sanctions, and consumer compliance programs.
- Apply analytical techniques to enhance compliance program effectiveness and operational efficiency.
- Leverage hands-on data engineering expertise to enhance data quality, accessibility, and integration for compliance use cases.
- Build and maintain automated data pipelines using dbt orchestration and GitLab for CI/CD workflows to support compliance analytics and reporting.
- Generate analytically driven and actionable insights that inform strategic decision making.
- Translate complex compliance requirements into data-driven insights, metrics, and visualizations to inform risk assessments and strategic decisions.
- Lead the creation, maintenance, and enhancement of dashboards, scorecards, and automated reporting tools that track compliance metrics and risk indicators.
- Build analytical efficiency tools and processes that support early identification of compliance risks and trends.
- Continuously improve existing reporting mechanisms by leveraging automation, machine learning, and advanced analytics where appropriate.
- Communicate analytical findings effectively to senior management, regulatory partners, and cross-functional teams.
Requirements
- Bachelor’s degree required; advanced degree in Data Analytics, Statistics, Finance, Business, or related field preferred.
- 6+ years of experience in compliance analytics, risk analytics, or a similar data-driven compliance function (e.g., AML, consumer compliance, operational risk).
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Experience with data transformation and orchestration tools (e.g., dbt) and version control/CI/CD practices (e.g., GitLab).
- Proven experience building dashboards and automation tools (e.g., Python, SQL, Tableau, or similar platforms). Experience working with Snowflake tables.
- Strong understanding of compliance frameworks, regulatory expectations, and risk management principles.
- Demonstrated ability to translate regulatory requirements into measurable data insights.
- Ability to communicate complex concepts clearly to non-technical audiences.
- Highly self-directed with a track record of setting and achieving ambitious goals.
Nice to have
- Experience with dbt orchestration, GitLab CI/CD pipeline optimization, and automated data quality testing.