Director, Machine Learning
Director, Machine Learning
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Job Description
Essential Functions
Payments Industry is a very exciting and fast-developing area with lot of new and innovative solutions coming to market. With strong demand for new solutions in this space it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.
If you want to be in the exciting payment space learn fast and make big impacts Ecosystem & Operational Risk technology which is part of Visas Value-Added Services business unit is an ideal place for you!
In Ecosystem & Operational Risk (EOR) technology group the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation architecture design development and testing of products applications and services that provide Visa clients with solutions to detect prevent and mitigate fraud for Visa and Visa client payment systems.
We are in search of inquisitive creative and skillful technologists to join our ranks. We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization.
The right candidate will possess strong machine learning background with demonstrated leadership experience in driving technical architecture design and delivery of products and services that have created business value and delivered impact within the payments or payments risk domain or similar industries.
This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging business problems. You will be a key driver in the effort to define the shared strategic vision for the Payment Fraud Disruption platform and defining tools and services that safeguard Visas payment systems.
Essential Function:
- Leverage generative AI techniques to enhance fraud detection models creating synthetic data for robust testing and model training.
- Incorporate generative AI into the machine learning strategy to introduce novel fraud detection methods and improve predictive accuracy.
- Utilize generative AI to simulate potential fraud scenarios aiding in the development and refinement of fraud prevention solutions.
- Implement generative AI tools to facilitate communication and alignment between technical teams and business stakeholders ensuring a shared understanding of goals.
- Define and drive the machine learning strategy for fraud prevention solutions.
- Align ML initiatives with Visas broader business and technology objectives in the payments risk space.
- Lead the design development testing and deployment of ML/DL models to detect and prevent payment fraud.
- Supervise model refresh cycles experimentation and continuous improvement.
- Partner with product managers engineers and business stakeholders to ensure alignment between technical and business goals.
- Work closely with support teams to troubleshoot production issues tied to models and pipelines.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Visa is not offering relocation assistance for this role
Qualifications :
Basic Qualifications
- 10 years of relevant work experience and a Bachelors degree OR 13 years of relevant work experience
Preferred Qualifications
- 12 or more years of work experience with a Bachelors Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 6 years of work experience with a PhD
- Experience leading development delivery and deployment of ML / DL models feature engineering model refresh and experimentation.
- Experience leading product development & delivery of AI/ML solutions applied to real-world problems
- Experience leading design and development of mission-critical secure reliable systems
- Excellent understanding of algorithms and data structures
- Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint
- Strong experience with agile methodologies
- Excel in partnering with Product leaders and technical product managers on requirements workshops helping define joint product/technology roadmaps & driving prioritization
- Experience driving continuous improvements to processes/tools for better developer efficiency and productivity
- Demonstrated ability to drive measurable improvements across engineering delivery and performance metrics
- Demonstrated success in leading high performing multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire develop and retain high-caliber talent
- Must demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess whats possible technically
- Strong collaboration and effective communication with focus on win-win outcomes
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 188200.00 to 273050.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Visa is not offering relocation assistance for this role
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
