Data Scientist Sr Manager - Fraud (Hybrid)

Key Skills

Analytical and Problem solving, Data Engineering, Data science techniques, Effective communication skills, Machine learning techniques, MLOps tools, Python Programming, SQL

Job Description

This role reports directly to the Head of the Data Science and Machine Learning Department, serving as a horizontal support across various customer management areas. These areas include line management, customer experience, and collections.

Key Responsibilities:

As a lead in the area of advanced analytics and modeling:

• Guide and mentor a team of data scientists in analyzing complex datasets to derive meaningful insights;
• Collaborate with program business analysts to convert data-driven findings into practical business strategies;
• Transform business problems into actionable modeling challenges;
• Manage the development of production models from inception to implementation, in coordination with MLOps, Data Engineering, and Engineering teams;
• Strategically design and conduct tests to assess behavioral patterns or business hypotheses.

What we are looking for:

Experience:

• Bachelor’s or Master’s degree in Economics, Finances, Statistics, Mathematics, Physics, or other quantitative discipline;
• Expert in SQL with proficiency in Python or another scripting language, with the interest and initiative to learn relevant new technologies;
• Experience building predictive models, customer lifetime value models, or other financial models (DCFs);
• Experience leading or collaborating with data scientists for business problem solving or model development;
• 2+ years of working experience in designing and executing A/B tests;
• 4+ years of work experience in data-centric or business modeling roles.

Skills and attitudes

• Proven ability to drive projects independently;
• Solid oral and written communication skills, particularly in conveying analytical concepts and methods;
• A collaborative team player who excels in effective communication, cross-functional collaboration, and aligning efforts for the company’s overall benefit;
• Exhibits a demonstrated capacity to perform under pressure, meet tight deadlines, and respond proactively, decisively, and flexibly to challenges;
• Possesses a deep passion for data, a keen interest in business operations, and an ever-ready attitude to confront problems head-on.

Bonus Points:

• 3+ years of working experience in the credit industry;
• Demonstrated experience collaborating with product managers and backend engineers for the execution and monitoring of tests or decisioning processes;
• A proven track record of rapidly acquiring proficiency in new technologies, concepts, and tools.

What we offer

• Make a positive impact on the lives of our customers via financial inclusion
• International exposure & work experience
• Professional development opportunities
• Promote from within
• Competitive salaries with strong Stock Option package
• Health, dental and vision insurance
• Paid time off
• Flexible schedule including remote work
• 401(k)
• Health Savings Account
• FSA
• Commuter Benefits
• Short and Long Term Disability
• Life Insurance
• Employee Assistance Program
• Open office design
• Onsite gym
• Casual dress code
• Company outings