Director, Artificial Intelligence,Learning Director, Artificial Intelligence,Learning …

Federal Reserve Bank of Boston
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Competitive
Federal Reserve Bank of Boston
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Competitive
Director, Artificial Intelligence,Learning
Director - Artificial Intelligence & Machine Learning

Director Secure Payments

Job Summary:
The AI/ML Director of Secure Payments will be a valued managerial member of the team dedicated to the advancement of payment security and emerging technologies. This individual will lead and/or participate in initiatives intended to reduce fraud and/or advance the safety and security of the payments system as well as develop AI guidance and recommendations for other Federal Reserve Payment Services. These activities are part of a broader program designed to improve the speed and security of the U.S. payments system. The Director will be an integral part of a team of executives and analysts dedicated to the payment security initiatives the Federal Reserve System is leading.

Principal Duties and Responsibilities:
Leads AI/ML and related technologies in support of priorities working to improve detection and reduce payments fraud. This person will be responsible for working with financial institutions and other organizations to identify technology related solutions that can promote a safer payments system.
Develops overall secure payments AI engagement strategy and work across FRS and externally to execute against priorities.
Establishes relationships with business units and/or technology offices within financial institutions, trade associations, advocacy groups, and non-profits to foster dialogue on AI and security related issues.
Evaluates current and potential AI/ML tools and methodologies (Model Development) in both supervised and unsupervised learning that are used to prevent, detect, and resolve payment fraud.
Leverages knowledge of fraud identification techniques, AI/ML platforms, and data analytics to author thought leadership pieces.
Facilitates dialogue and coordination with teams across the Federal Reserve System on AI/ML; ensures that key stakeholders within the System, the Federal Reserve Board of Governors and external entities are kept informed on uses of AI/ML in payments ecosystem and how they can be applied within Federal Reserve Payment Services.

General:
Partners with executives, industry experts, and Federal Reserve System peers to help execute the vision and key elements of the Federal Reserves strategy for payment security.
Translates output from industry analysts, workgroups, and other subject-matter experts to reduce fraud risk and advance the safety and security of the U.S. payments system.
Collaborates with the Secure Payments leadership team and Program Management Office staff, to ensure security strategy and tactics are appropriately integrated with the other elements of the payments improvement initiative.
Provides updates on progress, risks, and challenges to various Federal Reserve System governance groups, as required.
Provides coaching and development to staff.


Education and Experience:
Bachelor or Masters degree or an equivalent combination of education and/or technical training
4+ years of experience with data analytics, including fundamental statistics concepts, such as regression, or variance, probability distributions, programming and data visualization tools, and algorithm and decision model development
7-10 years of related fraud risk management, analytics, and strategy experience within the payments industry
Proven experience working and leading in a highly complex, geographically diverse, and matrixed organization deliver results and implementing large programs and projects on time and within budget
Depth at leveraging diverse viewpoints and disparate opinions in the pursuit of holistic sets of data and opinion
Experience managing consulting/vendor engagements


Technical / Industry Skills:
Knowledge of one or more modern payment systems and infrastructures, including: credit/debit processing, ACH, and Wire.
Strong technical aptitude in systems that support the payments ecosystem and fraud detection, prevention, and mitigation as it relates to payments or online banking transactions.
Knowledge of advanced analytics techniques, including machine learning, Bayesian statistics, regression, classification, and/or clustering.
Familiarity with subjects such as probability and statistics, cryptography, and distributed systems; especially as they apply to AI/ML.
Some competency with R, Python, Hadoop/Spark, Linux, Shiny/Tableau, Elasticssearch/Kibana.
Knowledge and experience in developing statistical models, algorithms and analytics on large datasets, preferably in the financial services industry.
Ability to develop machine learning models or prototype applications
Experience utilizing or evaluating applied data and computer science technologies in finance or other adjacent sectors.

Other Requirements:
20-30% travel

The Federal Reserve Bank of Boston is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, or military service.

All employees assigned to this position will be subject to FBI fingerprint/ criminal background and Patriot Act/ Office of Foreign Assets Control (OFAC) watch list checks at least once every five years.

The above statements are intended to describe the general nature and level of work required of this position. They are not intended to be an exhaustive list of all duties, responsibilities or skills associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position, management reserves the right to revise this or any job description at its discretion at any time.


Primary Location: MA-Boston
Work Locations:
Organization: Federal Reserve Bank of Boston
Schedule: Full-time
Job Type: Experienced
Shift: Day Job
Travel: Yes, 25 % of the Time
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