Apply on Employer Site

Ally · 1 day ago

Principal Data Scientist - Debit Card Fraud Risk

Charlotte, NC

Full-time

Hybrid

Senior Level, Lead/Staff

$110K/yr - $180K/yr

5+ years exp

Ally Financial is a leading digital financial services company focused on customer-centric solutions. They are seeking a Principal Data Scientist to join their Fraud Analytics, Strategies and Trends team, responsible for discovering, developing, and deploying countermeasures against fraud threats to enhance customer experience and minimize bank losses.

AutomotiveFinanceFinancial Services

No H1B

Hiring Manager

Mary Sofonia, PHR

Responsibilities

Discover new fraud threats through active involvement in mitigating current fraud trends, deconstruction of past events, and staying current with the changing fraud landscape

Discover deeper knowledge of existing vendors, as well as exploring new partners in the fraud fight through active involvement with vendor engagements and POC analytics

Discover new data sources and new methods for protecting the banks customers and minimizing losses through the use of emerging technologies and data manipulation techniques

Develop and monitor dashboards to observe daily behavior for abnormalities or elevated activity, then research behavior to determine if risky behavior is present

Develop new fraud referrals, strategies, and models that alert or interdict on risky behavior through using large transactional and behavioral data sets to conduct business analysis through the use of advanced analytics to find patterns of fraudulent behavior

Develop analysis to support potential policy and/or procedural changes in order to reduce fraud and improve the customers experience

Develop proposals for fraud strategies and/or other mitigation efforts, and present findings to partner teams for approval

Develop new techniques for fraud analysis, as well as recommendations for internal FAST policies and/or procedures to help drive efficiencies and repeatable quality results

Develop strong relationships with other FAST team members to drive collaboration, shared insights across the team, as well as coaching and mentoring peers toward improvement

Develop strong relationships with key business partners both inside and outside Fraud Prevention, pursuing solution delivery and shared successes

Deploy new countermeasures such as referrals, strategies, and models to combat emerging threats, deterring bad actors from continuing their attacks

Deploying effective monitoring techniques, ensuring high performing and controlled results are sustained

Deploy findings of analysis through effective presentation skills and use of influence

Deploy thorough controls that include not only well-developed countermeasures, but also detailed change control and backup documentation to ensure controls are understood and sustained

Qualification

Data ScienceAdvanced AnalyticsFraud Prevention StrategyStatistical ProgrammingData VisualizationSQLPythonMachine LearningData PreparationCommunication SkillsProject ManagementCollaboration

Required

5+ years of work experience in Data Science or Advanced Analytics role, using advanced data manipulation techniques to solve business problems required

Strong knowledge of and hands on experience with statistical and machine learning programming tools such as Python and R as well as hands on experience with model development

Data preparation programs such as SQL, SAS, and/or Python required

Linear and logistic regression, time series analysis, decision trees, survival analysis, ensemble trees (gradient boosting, random forest), and other quantitative techniques

Ability to analyze complex data, deriving clear action-oriented recommendations for the business, and communicating insights clearly and concisely to individuals from diverse backgrounds

Comfort level with ambiguity and ability to manage multiple projects at the same time

Proficiency in various database environments, such as Snowflake, Hadoop, or Oracle and proven experience to extract data

Preferred

Debit/Credit Card fraud prevention strategy experience preferred

Experience with authorization rules engines preferred

Experience with DataRobot and DataWalk is a plus

Data visualization skills through Power BI (Preferred) or Tableau

Degree in Data Science, Analytics, Computer Science, Economics, Statistics, Mathematics, Engineering or similar field of study preferred

Experience working in financial services industry, specifically in fraud prevention

Benefits

Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).

Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.

Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.

Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.

Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.

Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.