Manager, Data Science (Fraud Mgmt)

Key Skills

Aartificial intelligence, Analytical and Problem solving, Business Intelligence, Data Analytics, Data Modeling, Data science techniques, Effective communication skills, ETL/ELT technologies, Fraud Risk, KPI, Leadership, Machine learning techniques, Optimization, Python Programming, R Programming, SQL, Statistics

Job Description

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• Life/Health Benefits
• 401(k) Savings Plan
• Educational Assistance
• Paid Vacation/Holidays
• Employee Discounts
• Work-life Balance
• Business Casual Environment
• Paid Volunteer time off
• Rewards and Recognition Program
• EAP

Position Summary

This position reports to the Vice President, Data Science, and is responsible for averting and lessening fraud during the loan process, covering areas such as payment fraud, identity fraud, account takeover fraud, and origination fraud across the company, with focus on profitability, performance analysis, and developing test/control strategies. This role is both a technical and managerial role whereby the candidate performs analysis and prepares data as well as serves as a supervisor to junior analysts. Furthermore, this role requires someone who possesses a solid history in fraud detection, consumer lending, and data science. They should have expertise in all phases of the data science workflow, including data transformation, utilization of statistical and machine learning approaches, implementing models, gauging outcomes, and communicating findings effectively to the company.

Job Responsibility

• Mange the development and implementation of advance fraud statistical and machine learning models across the customer lifecycle to include customer acquisition, onboarding (operational processes), credit underwriting, product optimization, and collections in order to mitigate fraud risk using data science models and tools.
• Perform analytics to understand, track and diagnose potential fraud events.
• Develop and implement model-based strategies to mitigate fraud risk in the consumer lending space.
• Use data analytics and machine learning to identify and investigate potential fraud trends and patterns.
• Develop and implement fraud prevention policies and procedures.
• Manages and assists small team of junior fraud modelers with model design, construction, implementation, monitoring, and delivering model results to leadership while monitoring and investigating potential fraud cases.
• Build and maintain relationships with other industry experts to stay up-to-date on fraud trends and prevention techniques.

Job Responsibilities Cont.

• Collaborate with internal stakeholders and external partners to assess and mitigate risk.
• Collaborate with the company's technology team to develop and implement fraud detection tools and technologies.
• Prepare and present regular reports to senior management on fraud trends and prevention efforts.
• Independently designs fraud experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments.
• Works with credit bureaus to evaluate new data sources and “Ad-Hoc” analysis as assigned.
• Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy.

Education Required

Master’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or other comparable quantitative field) preferred. Bachelor’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or another comparable quantitative field) required.

Experience Required

At least 5 years of experience in consumer lending, with a focus on fraud prevention and detection

Knowledge Required

• Strong analytical skills and experience with data analytics tools such as SQL, Python, or R
• Direct experience in data quality, ELT, and feature engineering for fraud mitigation or identification
• Knowledge of fraud prevention techniques in the consumer lending space, including use of modeling with machine learning techniques, artificial intelligence, or similar processes
• Strong leadership skills with the ability to manage a team effectively
• Ability to work independently and manage multiple projects simultaneously
• Basic understanding of statistical principals (p-value, etc.). 
• Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics. 
• Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email.
• Adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. 
• Ability to read, write, evaluate, and apply information. 
• Ability to interact professionally and exhibit appropriate social skills. 
• Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. 
• Ability to develop and maintain business relationships. 
• Ability to quickly learn all technology needed in order to perform the role. 
• Prior coursework in advanced mathematics, computer programming, economics, and operations research would be beneficial. 

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.