Business Analytics Sr Analyst

Role overview

Responsibilities

• Analyze data to derive fraud patterns, trends, and insights and perform risk/reward trade-off analysis.
• Manage fraud rules, scores, detection strategies, risk appetite execution, point-of-sale interdiction strategies, and defect analysis.
• Develop and implement fraud prevention and mitigation strategies across the fraud lifecycle.
• Partner with Fraud Policy, Operations, and other teams to assess fraud impacts of business and technology direction.
• Recommend and implement mitigation strategies with cross-functional teams based on data and trend analysis.
• Build relationships to support timely delivery of portfolio priorities.
• Identify process gaps and improve control effectiveness and governance.
• Manage regular and ad hoc reporting to monitor activity and detect emerging trends.

Qualifications

• Bachelor's degree in statistics, mathematics, physics, economics, or another analytical or quantitative discipline is required.
• At least 3 years of relevant experience is required.
• Requires hands-on coding in a big data environment using SAS, SQL, Python, Impala, Hive, or comparable listed alternatives.
• Requires experience with traditional and advanced machine learning methods; examples include logistic regression, gradient boosting, and random forests.
• Requires experience with data visualization tools such as Tableau.
• Requires strong quantitative analysis, risk/reward analysis, written and verbal communication, and presentation skills.
• Must be detail-oriented, intellectually curious, able to multitask under tight deadlines, and able to work independently with baseline guidance.

Compensation

• The stated full-time salary range is $87,280 to $130,920 per year.
• Eligible employees may also receive discretionary or formulaic incentive and retention awards; benefits and offerings vary.

Role classification