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Upgrade

Offers fixed-rate loans, cards, BNPL

Merchant Risk Data Analyst

Data Science +1Confirmed live in the last 24 hours
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • At least 3 years of merchant risk experience in fraud detection, compliance monitoring, underwriting, or risk operations; fintech, payments, or lending experience is preferred.
  • Strong SQL skills for querying large datasets and performing complex data analysis.
  • Proficiency in Tableau or similar business intelligence tools for building dashboards and visualizations.
  • Experience with predictive modeling and statistical analysis, including regression, classification, and clustering.
  • Expertise in Excel or Google Sheets for data manipulation, pivot tables, and analysis.
  • Deep knowledge of merchant risk, including fraud patterns, financial distress indicators, compliance red flags, operational issues, and borrower harm signals.
  • Ability to spot patterns in complex data with attention to detail.
  • Ability to communicate analytical findings clearly to non-technical audiences.

Responsibilities

  • Analyze large volumes of transactional data to identify merchant risk patterns and trends.
  • Build predictive models to forecast merchant fraud, financial distress, compliance issues, and operational red flags.
  • Develop risk-scoring methodologies that prioritize high-risk merchants for proactive review.
  • Conduct historical trend analysis to understand how merchant risk evolves over time and across verticals.
  • Identify leading indicators of merchant misconduct, project abandonment, chargebacks, and borrower harm.
  • Design automated merchant risk triggers based on transactional behavior and performance metrics.
  • Create early-warning systems for financial distress, fraud patterns, compliance violations, and operational deterioration.
  • Optimize trigger logic to balance detection accuracy with operational efficiency.
  • Collaborate with Engineering and Product to operationalize triggers into monitoring workflows.
  • Monitor trigger performance and adjust thresholds based on investigation outcomes.
  • Build and maintain Tableau dashboards for merchant investigations using transactional data, work-in-progress trends, chargeback patterns, and complaint analysis.
  • Create visualizations that help the Merchant Risk team investigate merchants quickly and effectively.
  • Develop performance metrics reporting for team productivity, investigation outcomes, and risk mitigation effectiveness.
  • Design executive-level reporting on merchant risk trends and portfolio health.
  • Ensure dashboards are intuitive, accurate, and actionable.
  • Partner with Merchant Risk Managers and analysts to understand investigation needs and data gaps.
  • Provide data-driven recommendations to improve risk detection and investigation efficiency.
  • Collaborate with Sales, Credit, Compliance, Financial Crimes, and Product teams on risk strategy.
  • Present findings and recommendations to leadership in clear, compelling formats.
  • Stay current on merchant risk trends, fraud schemes, and industry best practices.

Desired Qualifications

  • Experience with Python or R for data analysis and modeling.
  • Familiarity with machine learning techniques and model validation.
  • Knowledge of merchant underwriting, credit risk, or transaction monitoring.
  • Experience with work-in-progress data in project-based lending.
  • Background in home improvement, solar, elective medical, or other merchant verticals.
  • Understanding of regulatory requirements, including UDAAP, state licensing, and consumer protection.
  • Prior experience building automated alerting systems or risk triggers.

About the Company

Upgrade

Offers fixed-rate loans, cards, BNPL

Upgrade is a US consumer fintech that provides affordable and responsible credit and everyday banking services to mainstream consumers. Its products include fixed-rate personal loans, the Upgrade Card and other cash-back cards, Rewards Checking with a debit card, auto and home-improvement financing, and Flex Pay buy now, pay later at merchant checkouts. Customers fund these products through interest, fees, and card interchange, with backing from partner banks and asset-backed securitizations, and Upgrade is expanding funding by applying to form Upgrade Bank. Unlike apps that only offer one product, Upgrade combines lending, banking, and education tools in one platform to help people manage debt and build credit, aiming to widen access to affordable credit and everyday banking.

Company size
1,001-5,000
Company stage
Series G
Total funding
$712M
Headquarters
San Francisco, CA
Founded
2016

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