About The Position

We are seeking a Senior ing functions within the First Line of Defense. This role will primarily focus on monitoring and analyzing Fraud Key Risk Indicators (KRIs), Risk Appetite Statement (RAS) metrics, Strategy and Rule monitoring oversight, governance documentation, and other enterprise fraud performance metrics to ensure the Fraud Program operates within defined risk tolerances and governance expectations. The Senior Risk Analyst will play a critical role in governance control, analyzing fraud performance trends, identifying emerging risk signals, supporting escalation of metric breaches, and delivering data-driven insights to senior leadership and enterprise risk committees. This position will also support audit, regulatory examination, and fraud risk assessment activities, helping ensure the Fraud Program maintains strong governance, transparency, and regulatory alignment. While the primary focus of this role is fraud risk analytics and performance monitoring, the Senior Analyst will also assist the broader Fraud Program team in supporting program governance, documentation, strategy oversight, and cross-functional coordination across the Fraud ecosystem. The ideal candidate will bring strong analytical capabilities, experience with risk assessment frameworks or audit processes, a deep understanding of fraud risk management within a banking or fintech environment, and the ability to drive cross-functional collaboration between all lines of business.

Requirements

  • 5+ years of experience in fraud analytics, risk management, or fraud program management.
  • Strong experience in leading projects, working cross-functionally, and influencing senior stakeholders.
  • Experience working with multiple cross-functional teams to deliver results
  • Experience in banking and/or fintech industry
  • Strong Knowledge of fraud prevention tools and techniques.
  • Excellent problem-solving skills and ability to translate complex data into clear business recommendations.
  • Strong proficiency in SQL, experience with visualization tools (e.g., Tableau)
  • Familiarity with Python.
  • Strong experience creating scalable playbooks, reporting templates, and spreadsheet-based workflows to improve risk management processes and cross-functional coordination.
  • Highly self-directed, with demonstrated ability to think strategically, solve ambiguous problems, and independently drive initiatives from ideation through implementation.
  • Strong presentation and executive communication skills, including developing clear, concise materials for senior leadership and regularly presenting insights, recommendations, and progress updates.

Nice To Haves

  • Experience with Model Risk Management or Model Governance, a plus!
  • Advanced working knowledge of Python for process automation, including writing maintainable code, testing solutions independently, and preparing them for production.
  • Working knowledge of GitLab, DBT, and Airflow, including the ability to independently deploy, schedule, and maintain analytical workflows in production.
  • Proficient in Airtable, including designing automations and workflow trackers to be leveraged across multiple product teams.

Responsibilities

  • Monitor and analyze Fraud Key Risk Indicators (KRIs), Risk Appetite Statement (RAS) metrics, and other enterprise fraud performance indicators across products and business lines.
  • Identify performance trends, emerging risks, and early warning signals across fraud domains including account takeover, transaction fraud, disputes, and fraud operations performance.
  • Support the escalation and investigation of metric breaches, working with cross-functional teams to determine root causes and corrective actions.
  • Produce regular risk reporting and executive summaries for fraud governance committees and leadership forums.
  • Develop and maintain data-driven insights and dashboards to improve transparency into fraud risk performance across the enterprise.
  • Assist with maintaining and enhancing the Fraud Program’s KRI and KPI framework, ensuring alignment with enterprise risk management and regulatory expectations.
  • Support ongoing metric validation, threshold monitoring, and governance processes to ensure fraud metrics remain accurate, stable, and meaningful.
  • Partner with Fraud Strategy, Operations, Data, and Risk teams to ensure consistent measurement and interpretation of fraud risk performance across products.
  • Assist in the execution of Fraud Risk Self-Assessments (FRSAs) and other targeted risk evaluations across fraud domains through data analytic needs.
  • Support the tracking and remediation of fraud-related issues identified through audit, risk assessments, regulatory reviews, or control testing.
  • Coordinate with Fraud Program Lead to support regulatory exam responses and documentation requests.
  • Assist in maintaining fraud program documentation, procedures, and governance artifacts, including playbooks, policies, and operational standards.
  • Support coordination of fraud governance forums and committee reporting, ensuring accurate and timely risk reporting.
  • Assist with cross-functional initiatives and program management efforts that support the overall fraud risk management ecosystem.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service