Senior Financial Risk Analytics Engineer (Fintech)

Location: CT Stamford HQ, United States

Salary: $108,750–$180,000 USD annual base pay

Company

Financial services organization developing technology-driven solutions for banking, risk management, and customer-focused transformation.

What you will do

• Research, scope, and manage requirements, workflows, data needs, and implementation plans for CECL credit loss models.
• Design, develop, implement, and maintain analytical models, data workflows, automated pipelines, and supporting infrastructure.
• Build reports, dashboards, and data visualizations for forecasting, reserving, risk management, and performance monitoring.
• Identify and resolve data quality, workflow, reporting, and analytical challenges.
• Maintain model documentation, workpapers, testing results, and change management records for governance, audit, and regulatory requirements.
• Collaborate with Finance, Risk, IT, Data Management, business partners, and senior stakeholders on analytical solutions and regulatory modeling initiatives.

Requirements

• Bachelor’s degree in computer science, engineering, data science, mathematics, statistics, finance, economics, or a related quantitative field.
• 10+ years of experience with complex relational database systems, including Oracle, SQL, or similar platforms.
• 10+ years of software engineering, data engineering, or analytics experience within a commercial bank or financial institution.
• Proficiency in SAS and R, Python, or similar analytical programming languages.
• Experience designing large-scale data workflows and automated data pipelines, with strong SQL and relational database expertise.
• Must be legally authorized to work full-time in the United States without employer sponsorship.

Nice to have

• Master’s degree in a quantitative discipline.
• Experience with CECL, stress-testing, underwriting, credit scorecards, or regulatory modeling frameworks.
• Experience with AWS, Azure, GCP, cloud-native analytics, Apache Airflow, Tableau, Qlik Sense, full-stack development, or CI/CD.
• Advanced knowledge of statistical modeling, time-series forecasting, optimization, machine learning, and predictive analytics.

Culture & Benefits

• Work in a technology-driven financial services organization focused on innovation and customer-centric transformation.
• Participate in a proactive risk culture with strong attention to governance, audit, and regulatory compliance.
• Competitive rewards package and benefits supporting employees, families, and long-term well-being.
• Inclusive and accessible application process with accommodation support available.