Jobs at Current

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

The role demands a Senior Software Engineer skilled in backend development and ML, focusing on delivering ML solutions that address business challenges across various domains.

Lead and enhance the QA program for Risk Operations disputes, governing BPO partners, conducting QA and calibration, analyzing trends, reporting findings, supporting audits, and expanding QA coverage across non-disputes risk functions to ensure regulatory compliance with Reg E, Reg Z, and CFPB standards.

Lead design, governance, and delivery of disputes-focused training for internal and BPO teams. Build curriculum aligned to Reg E/Reg Z/CFPB, use QA insights to prioritize content, track learning effectiveness, and ensure audit-ready compliance. Expand training coverage across Risk Operations and manage onboarding, readiness standards, and facilitator materials.

Analyze customer complaints for regulatory risk, research individual cases, draft formal responses to customers, bank partners, and regulators, create escalations and actionable reporting, and support special consumer compliance projects to ensure adherence to consumer protection laws.

Responsible for end-to-end bi-weekly/semi-monthly payroll processing for 185+ employees and day-to-day administration of private company equity plans. Tasks include timecard validation, payroll reconciliation, tax and compliance management, equity transactions and vesting tracking, cross-functional collaboration, and employee support for payroll and stock plan inquiries.

Lead the design and maintenance of analytics infrastructure, ensuring data quality and governance while enabling self-serve analytics across teams.

The Director of Risk is responsible for managing fraud risk, building enterprise risk management, collaborating across teams, and mentoring a high-impact risk team.

Lead design and delivery of scalable backend services and data-intensive applications. Own end-to-end features from discovery to launch, architect distributed systems for reliability and performance, mentor engineers, evolve engineering standards, and partner with product and data stakeholders to shape technical direction and roadmaps.

Lead and grow a team of Android engineers to deliver high-quality native Kotlin apps. Own planning, technical roadmaps, code quality standards, and cross-functional delivery while remaining ~30% hands-on contributing to the Android codebase and mentoring engineers.

Contract Workforce Management analyst responsible for administering and optimizing Assembled, producing volume and staffing forecasts, building and refining agent schedules across channels, and monitoring/improving SLA performance both in real time and historically. Works independently with operations leadership to align schedules to demand and drive SLA improvements.

Join Current as a Software Engineer to build backend services in a microservices architecture, participate in system design, and deliver impactful features. Requires 2+ years of backend experience, preferably with Java.

The Director of AML/BSA Compliance oversees compliance programs, leads a team, manages regulatory requirements, and develops training for compliance strategies in a consumer fintech environment.

Lead and grow Analytics Engineering: define data warehouse and BI strategy, build and optimize ETL/ELT pipelines, design dimensional models in BigQuery using dbt and Airflow, own BI tooling (Looker), ensure data quality and governance, and mentor/manage a distributed analytics engineering team while partnering with stakeholders and platform engineers.

Design and build data warehouse architecture, dimensional models, data marts, and transformation pipelines (dbt, Airflow, BigQuery). Partner with analysts, data scientists, and engineers to enable reporting in Looker, ensure data quality and reconciliation, and support cross-functional analytics needs across business teams.

Lead and scale an embedded analytics organization; ensure consistent methodologies, experimentation, data modeling and reporting. Partner with department leads, mentor analytics managers, perform hands-on root-cause analyses, oversee experimental design and metrics, and drive executive-level data storytelling to influence strategy.

Lead design, development, and deployment of predictive ML models and anomaly detection. Perform extensive EDA, feature engineering, model evaluation, A/B testing, and customer segmentation. Build monitoring and governance for models, collaborate with Product/Engineering/Marketing, and ensure scalable data pipelines and model integration to drive member acquisition, retention, and product optimization.