Risk Analyst Jobs

About The Position

Requirements

• Bachelor's degree or equivalent work experience.
• Typically more than six years of applicable experience.
• Experience querying relational databases and working with large data sets from multiple sources.
• Proficiency in at least one analytical language or platform, such as SAS, SQL, Python, R, or similar, and flexibility to learn new tools.
• Strong written and verbal communication skills, including presenting findings to a business audience.

Nice To Haves

• Bachelor’s degree in a quantitative field, or equivalent work experience.
• Four or more years of experience in analytics, risk management, fraud, financial crimes, or a related field.
• Experience with fraud, scams, payments, claims, complaints, or operational risk data in financial services.
• Experience working with unstructured or free-text data and building categorization logic.
• Experience providing credible challenge or independent risk oversight.
• Experience with Power BI, Tableau, or similar visualization tools; interest in Databricks and cloud analytics platforms.
• Comfort using AI tools such as Microsoft Copilot within an analytical workflow.
• Familiarity with regulatory, audit, or governance environments.

Responsibilities

• Analyze fraud losses, claims, complaints, alerts, operational data, and other risk indicators to identify root causes, control gaps, emerging fraud risks, and customer impacts.
• Provide second-line credible challenge to business line fraud strategies, detection rules, controls, processes, and performance reporting through analytical deep dives and independent assessments.
• Develop independent benchmarks, thresholds, segmentation frameworks, key risk indicators, and trend analyses to assess fraud exposure, control effectiveness, customer outcomes, and loss performance.
• Design and maintain transparent, repeatable, auditable analytical methodologies, monitoring frameworks, and governance processes that can be independently validated, refreshed, and reproduced.
• Identify emerging fraud threats, control weaknesses, and monitoring opportunities by sourcing and analyzing relevant data, developing actionable insights, and recommending risk mitigation actions.
• Assess fraud risk implications of significant business, product, strategy, model, vendor, and technology changes through independent impact analyses and provide risk-based recommendations.
• Support strategic data and cloud modernization initiatives involving fraud analytics, monitoring solutions, reporting assets, and analytical controls, including migration to Databricks, Azure, cloud data platforms, and enterprise data domains.

Benefits

• Healthcare, including medical, dental, and vision.
• Basic term and optional term life insurance.
• Short-term and long-term disability.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation from two to five weeks depending on salary grade and tenure.
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
• Incentive and recognition programs.
• Equity stock purchase.
• Pension, subject to eligibility requirements.