Manager - Payments Fraud Analytics and Data Science What you'll do Our practitioners have the opportunity to engage a diverse and challenging portfolio of projects across the payments fraud and security spectrum, including the design and implementation of customer onboarding and transaction monitoring systems, the assessment of new and emerging fraud and security risks, and facilitating large-scale technology and process transformations. This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses. Recruiting for this role ends 12/31/24. As a Manager, you will have opportunities to: • Apply data science, machine learning, network analysis, and other advanced approaches over large datasets to facilitate the detection of fraud and security schemes. • Assess, configure, and implement technologies and fraud strategies to prevent and detect fraud and security schemes across a variety of payments products (including digital currencies and wallets, depository, ACH, wire, Zelle, peer-to-peer, and credit card) • Design fraud program management reporting, including reporting to support management of regulatory obligations • Perform assessments of organizations' fraud detection models, including in alignment with the U.S. Office of Comptroller of Currency Supervisory Guidance on Model Risk Management and other regulatory requirements • Lead the development of written and oral communications on fraud risks, including communicating technical concepts to a non-technical audience • Serve as primary client contact or workstream lead on complex projects, liaise with client counterparts, and actively participate in discussions on project management and work delivery needs • Lead internal business development initiatives and sales opportunities, including the creation of external-facing industry perspectives, lead generation materials, participation in industry technology conferences, or sales proposals • Jointly own the management of resources and project economics to meet business objectives with prescribed timeframes and within budgets • Support the recruitment, management, and retention of our talent pipeline, including serving as a professional development coach and performance manager to junior staff Qualifications Candidates will have exceptional records of professional achievement, experience working in a relevant financial services industry sector, and a demonstrated capacity and enthusiasm for self-paced development. Candidates will be expected to motivate others, build constructive relationships with clients and colleagues, and work both independently and as part of a team. Successful candidates will demonstrate an aptitude for complex problem- solving and analytical skills in the payments and security space and the ability to communicate complex ideas clearly and persuasively across a variety of strategic, operational, technological, and risk management matters. Required Qualifications • Bachelor's degree in Statistics, Economics, Computer Science, Management of Information Systems, Data Science, Business Management, or related field • 7+ years of experience working in the financial services or consulting industry in one or more of the following Financial Services industries: consumer or corporate banking, fintech, investment banking or capital markets, investment management, wealth management, trust company, insurance provider, or related service provider • Hands-on technical experience leading teams to mine and analyze transactional electronic data with competency in a variety of analytics tools and programming languages such as, but not limited to: • Microsoft SQL Server, Oracle, MySQL, Hive, Spark • Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner) • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi) • Cloud-based technologies such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform • Strong relationship management skills, particularly the ability to build constructive and product working relationships with clients and among Deloitte practitioners • Strong project / program management skills, particularly possessing a strong work ethic, a commitment to excellence in work product delivery, and the ability to independently manage multiple priorities and deadlines • Direct experience in people management, preferably leading cross-function project teams • Strong oral and written communication skills, including the ability to support or lead business proposal development and sales presentations • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve • Limited sponsorship may be available Preferred qualifications • Certifications in data science or cloud tools and technologies • Experience with configuring, implementing, and testing fraud and security technologies, such as those associated with the following vendors: Feedzai, Feature Space, FICO Falcon, LexisNexis, ThreatMetrix, and NICE/Actimize • Experience leading business transformation or change management initiatives as a result of strategic, regulatory, risk-related, technological, or operational evolutions • Experience responding to inquiries or working at a financial services regulator • Experience managing recurring fiscal year sales and revenue management targets The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,815 to $252,450. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Job Type
Fulltime role
Skills required
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Location
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Salary
No salary information was found.
Date Posted
September 13, 2024
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Deloitte is seeking a Payments Fraud Analytics and Data Science Manager in San Francisco, CA, to lead projects focused on fraud detection and prevention in financial services. The role involves applying data science techniques and managing client relationships while overseeing a team of analysts.