Dice
Payments Fraud Analytics and Data Science Senior Consul
Dice, Boston, Massachusetts, us, 02298
Payments Fraud Analytics and Data Science Manager
Posted 60+ days ago | Updated 1 hour ago Overview On Site USD 130,815.00 - 252,450.00 per year Full Time 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 includes applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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 productive 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
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Posted 60+ days ago | Updated 1 hour ago Overview On Site USD 130,815.00 - 252,450.00 per year Full Time 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 includes applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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 productive 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
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