Self Financial

HQ
Austin
200 Total Employees
80 Product + Tech Employees
Year Founded: 2015

Self Financial Offices

Self Financial is headquartered in Austin.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We offer a remote and hybrid work environment to adapt to our changing world, including flexible time off when you need it.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ

Austin

Austin, TX, United States

10 Days AgoSaved
Hybrid
Austin, TX, USA
Fintech • Mobile • Social Impact • Software • Financial Services
Manage Self’s AML and sanctions program, including transaction monitoring, KYC, high-risk customer reviews, OFAC investigations, and UAR preparation. Partner with banks on escalations and program updates, report compliance KPIs to leadership and the Board, and develop policies, procedures, risk assessments, and training. Monitor industry typologies, improve processes, and support an effective BSA compliance program.
One Month AgoSaved
Hybrid
Austin, TX, USA
Fintech • Mobile • Social Impact • Software • Financial Services
Lead data engineering initiatives supporting analytics, machine learning, and business intelligence teams. Design complex data warehouse and data lake models, manage large-scale SQL and Python ETL/ELT pipelines, maintain data quality and lifecycle standards, and translate strategic priorities into actionable projects. Provide technical leadership, mentorship, architectural guidance, project planning, and cross-functional collaboration with product, infrastructure, and architecture teams.
One Month AgoSaved
Hybrid
Austin, TX, USA
Fintech • Mobile • Social Impact • Software • Financial Services
Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.