General informationRef # 18162Remote? NoAlly and Your CareerAlly 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 OpportunityThe Senior Director of Fraud Analytics and Data Science will be responsible for developing and implementing strategies to detect and combat fraud across Invest and Deposit Operations. This role requires a deep understanding of data science, advanced analytics, and machine learning techniques. The successful candidate will lead a team of analysts and data scientists to build sophisticated rule and model strategies which protect our clients and business from fraudulent activity while enabling a more seamless client experience.The Work Itself
Spearhead the transformation of our fraud detection strategy and capabilities.
Lead, mentor and manage a team of fraud detection analysts and data scientists.
Foster a culture of innovation and continuous improvement within the team.
Utilize advance analytics, machine learning, and data science techniques to detect and prevent fraud.
Constantly keep our client’s top of mind balancing fraud prevention with client experience.
Collaborate with cross-functional teams, including Fraud Strategy, product, IT, compliance, enterprise data, legal and operations, to implement effective fraud prevention measures while balancing an exceptional client experience.
Communicate findings and insights to senior management and other stakeholders, providing actionable recommendations.
Monitor and report on the effectiveness of fraud prevention measures.
Represent the company in industry forums and with regulatory bodies on matters related to fraud analytics.
Evaluate and implement new technologies and tools to enhance fraud detection and prevention capabilities.
Drive innovation by exploring new data sources and feature creation for fraud detection.
Develop and maintain repeatable and sustainable governance processes for model risk management and rule strategies.
Develop and support a fraud event management function.
The Skills You Bring
10+ years of experience in fraud analytics and data science, with at least 5 years in a leadership role.
Bachelors degree in Data Science, Statistics, Computer Science or related field required
Mast degree preferred in related field preferred.
Experience building and managing a high performing analytics team.
Expert in programming languages such as Python, R, or SAS, and big data technologies.
Proven track record of developing and implementing successful strategies to detect multiple fraud types.
Innovative approaches to using big data to find the fraud while best servicing our clients.
Extensive experience in machine learning, statistical analysis, and data mining techniques.
Ability to lead the development of sustainable ongoing model risk management practices.
Excellent leadership, communication, and interpersonal skills.
How We'll Have Your BackAlly'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:Emerging: 165000Experienced: 202500Expert: 240000
