Top Fintech Data & Analytics Jobs

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

As a Senior Lead Data Engineer, you will lead teams to design technical solutions, focusing on data integration and AI capabilities to support business needs, applying your expertise in cloud computing and big data technologies.

The Senior Business Analyst will engage in analysis and strategic recommendations to improve Capital One Shopping, focusing on product modeling, marketing insights, credit risk, and collaborating across teams to enhance business growth.

The Senior Business Analyst will analyze credit loss forecasts, manage credit risk, and enhance estimation frameworks in a collaborative environment.

Lead a small second-line team providing independent oversight of enterprise data governance. Assess governance frameworks, data ownership, quality controls, risk identification, and regulatory alignment. Deliver actionable insights to senior management, partner with first-line teams to improve governance maturity, and validate controls and issue management practices across the firm.

Build and maintain dbt pipelines and real-time ingestion using PySpark and AWS Glue. Apply software engineering best practices, review code in Git, and collaborate with data scientists and stakeholders to source, govern, and deliver reliable data for analytics and AI. Translate requirements into Jira stories and support deployment, tooling, and data governance across the enterprise.

Design and operate metadata cataloging, lineage harvesting, governance workflows, and data quality for unstructured data. Configure and maintain Atlan/Anomalo/Unity Catalog, build automated checks and prototypes using Python/SQL/Databricks/Streamlit, collaborate with stakeholders, document standards, and drive governance tool adoption.

Build and maintain production-grade data models and pipelines for the Compliance Data Mart, implement data quality frameworks and monitoring, partner with engineering to resolve data gaps, support regulatory exams and audits, and automate manual workflows into scalable pipelines and self-serve tooling.

Scope, implement, validate, and monitor merchant data integrations to ensure accurate input to data science models. Maintain data configuration, create JSON/CSV templates, write Python/SQL/Spark/Databricks/R scripts for testing and transformation, upload historical data, triage alerts, and coordinate with internal and client teams to resolve data issues and improve pipelines.

Design, build, and maintain scalable batch and real-time data pipelines and data lake architecture. Improve observability and SLOs, optimize ETL/ELT, develop dbt workflows, support event-driven architectures, integrate financial APIs, and collaborate with analytics and ML teams to deliver reliable, model-ready data products.

Lead high-impact analytics initiatives on customer behavior and financial health. Source, assemble, and analyze large transaction datasets, build reusable data assets and workflows, apply advanced analytics and AI tools, produce executive-ready dashboards and presentations, influence senior stakeholders, and mentor junior analysts.

Lead development and execution of Pillar 3 reporting strategy, build standardized reporting frameworks and executive scorecards across BI platforms, translate complex data into executive insights, advise senior leadership, coordinate cross-platform performance reporting, and mentor junior analysts to improve data modeling, KPI design, and visualization standards.

Design and lead enterprise-scale data architecture across hybrid and on-prem platforms. Define patterns for application, analytics, workflow, and AI workloads, mentor teams, influence senior leadership, and drive modernization, security, scalability, and TCO/ROI decisions.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The role involves supporting client experiences in cash management by managing requests, developing reports, improving processes, and collaborating with teams.

The Senior Business Operations Analyst will focus on data-driven insights and operational strategies for Collections operations. Responsibilities include SQL analysis, Tableau reporting, and collaborative optimization with various teams to enhance efficiency and decision-making.