General information
Ref # 21090
Remote? No
Ally and Your Career
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Ally Financial only succeeds when its people do - and that's more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You're constantly evolving, so shouldn't your opportunities be, too?
The Opportunity
As a seasoned contributor on the Fraud Analytics, Strategies and Trends (FAST) team, the Principal Data Scientist plays an integral role in Ally's defense against fraud threats. Through the use of advanced analytics techniques, the Principal Data Scientist continually seeks to Discover, Develop, and Deploy new countermeasures suitable to detect fraudulent activity, and disrupt continually changing ongoing attacks, preventing bank losses and improving the customer's experience.
In office role with hybrid schedule. Ally work locations Charlotte NC, Fort Washington PA, Lewisville TX, Jacksonville FL
At this time, Ally will not sponsor a new applicant for employment authorization for this position.
The Work Itself
Discover
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
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
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.
The Skills You Bring
5+ years of work experience in Data Science or Advanced Analytics role, using advanced data manipulation techniques to solve business problems required.
Debit/Credit Card fraud prevention strategy experience preferred
Experience with authorization rules engines preferred
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. Experience with DataRobot and DataWalk is a plus.
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.
Data visualization skills through Power BI (Preferred) or Tableau.
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.
Degree in Data Science, Analytics, Computer Science, Economics, Statistics, Mathematics, Engineering or similar field of study preferred
Proficiency in various database environments, such as Snowflake, Hadoop, or Oracle and proven experience to extract data. Experience with Posit is a plus.
Preferred - Experience working in financial services industry, specifically in fraud prevention.
LinkedIn-Hybrid
How We'll Have Your Back
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Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. But Ally's total compensation - or total rewards - extends beyond your paycheck and is designed to support and enrich your personal and professional life, including:
Time Away: competitive holiday and flexible paid-time-off, including time off for volunteering and voting.
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 and 529 educational assistance programs, tuition reimbursement, and other financial well-being programs.
Supporting your Health & Well-being: flexible health and insurance options including dental and vision, pre-tax Health Savings Account with employer contributions 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 support as well as parental and caregiver leave, back-up child and adult/elder day care program and childcare discounts.
Work-Life Integration: other benefits including LifeMatters® Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
Who We Are:
Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.
Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered, if not currently employed by Ally.
We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at work@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.
Base Pay Range:
An individual's position in the range is determined by the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer.
Emerging: 110000
Experienced: 145000
Expert: 180000
Incentive Compensation: This position is eligible to participate in our annual incentive plan
