Manager - Data Science at American Express Company South Africa

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

165000.0

Posted On

20 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Risk Management, Analytical Skills, Problem-Solving, Project Management, Statistical Techniques, Machine Learning, Communication Skills, Interpersonal Skills, Cross-Functional Collaboration, Data Manipulation, Statistical Programming, Benchmark Models, Governance Standards, Regulatory Compliance, Digital Mindset

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Model Risk Management Group (MRMG), within the Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. This includes oversight and validation of Models, Non-Model Tools (NMTs), and End-User Computing (EUC) tools, ensuring these assets are conceptually sound, well-controlled, and compliant with regulatory expectations. Roles & Responsibilities: The successful candidate will play a key role in managing, validating, and controlling models, NMTs, and EUCs across the enterprise. This position provides a unique opportunity to combine business insight with technical expertise, helping the firm distinguish when a tool should be classified as a Model, NMT, or EUC and ensuring the right governance standards are applied. Key responsibilities include: Perform independent validation and oversight of enterprise-wide Models, NMTs, and EUCs across diverse business lines and functions. Assess classification decisions to ensure tools are correctly designated as a Model, NMT, or EUC, with well-documented rationale. Conduct gap assessments and develop frameworks to strengthen risk controls, aligning with evolving regulatory standards. Design and execute robust validation tests to assess conceptual soundness, implementation accuracy, and performance monitoring. Conduct benchmark analysis and develop independent solutions to test robustness. Communicate validation results, insights, and recommendations effectively to business partners, senior leadership, and risk committees. Research emerging practices and innovations in modeling, validation, and governance to continuously elevate excellence and business impact. Critical Factors to Success: Business Outcomes: Rigorously challenge the conceptual soundness, design, and intended usage of Models, NMTs, and EUCs. Maximize business value by ensuring tools are efficient, accurate, and properly governed. Strengthen controls and processes to ensure regulatory compliance while supporting business innovation. Leadership Outcomes: Demonstrate enterprise-first thinking, balancing the needs of customers, partners, colleagues, and shareholders. Lead with curiosity and an external perspective, bringing continuous innovation to validation practices. Show strong learning agility and make decisions with integrity under dynamic business and regulatory conditions. Embrace a digital mindset to enhance validation methodologies and improve customer outcomes. Minimum Qualifications: · Master’s degree in quantitative field or MBA with analytics experience Functional Skills/Capabilities: Hands-on validation experience of Models, NMTs, or EUCs, with ability to differentiate between them and apply appropriate governance. Strong analytical, problem-solving, and project management skills. Experience applying statistical, quantitative, and/or machine learning techniques to business problems. Ability to clearly communicate complex analytical results to non-technical stakeholders and senior leaders. Strong interpersonal skills and demonstrated success in cross-functional collaboration. Flexible and adaptable in managing tight deadlines, competing priorities, and evolving requirements. Technical Skills/Capabilities: Strong business acumen, with the ability to evaluate the purpose, use case, and risk implications of Models, NMTs, and EUCs. Proficiency in data manipulation and statistical programming tools such as Python, PySpark, R, or SAS. Familiarity with development, implementation, and monitoring processes. Ability to design benchmark models or non-model solutions to test robustness and validity. Behavioral Skills/Capabilities: Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives 6%25 Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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Responsibilities

The successful candidate will manage, validate, and control models, Non-Model Tools (NMTs), and End-User Computing (EUC) tools across the enterprise. This role involves performing independent validation and oversight, assessing classification decisions, and communicating results to stakeholders.