Manager, Data Science

Posted 10 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
Entry level
Fintech • Financial Services
The Role
Oversee credit risk, fraud risk, and line management model reviews, assessing conceptual soundness, data quality, performance, and monitoring. Prepare model review documentation for audits and regulators, communicate findings to senior stakeholders, evaluate machine learning applications, and enhance enterprise model risk governance for evolving modeling techniques.
Summary Generated by Built In

The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide. The role will be primarily responsible for the review of credit risk, fraud risk, and line management models. The responsibilities of the individual are also to ensure that there is an elevation of modeling as well as fulfilling regulatory requirements for model risk management. This is a highly competitive role and one that ensures the individual achieves maximum potential intellectually as well as for the company.

Responsibilities

This role will report to a director in MRMG. The specific responsibilities include:

  • Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring
  • Document detailed model review reports and prepare for regulatory and internal audit reviews
  • Communicate model review results to business partners, senior leaders, and regulators
  • Evaluate machine learning algorithms and their application on models
  • Enhance governance framework to accommodate the evolving modeling techniques, model development, as well as model risk management

Qualifications
  • Advanced degree in quantitative fields
  • Hands-on modeling experience is preferred
  • The qualified candidate should have a good understanding of machine learning algorithms (e.g.,     gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well   as classic statistical modeling techniques and assumptions.
  • Experience in large data processing and handling is a plus—familiarity with big data platforms and   applications, such as Hadoop, Pig, Hive, Spark, AWS.
  • Must be skilled in coding using Python/R; additionally, Java, Scala, and C++ a plus.
  • Strong communication and written skills
  • Flexibility and adaptability to work within tight deadlines and changing priorities

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. 

About Us

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our 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.

About the Team

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% 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 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.

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The below 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.​

Skills Required

  • Advanced degree in a quantitative field
  • Strong understanding of machine learning algorithms, artificial intelligence, deep learning, and classical statistical modeling
  • Proficiency coding in Python or R
  • Strong written and verbal communication skills
  • Flexibility and adaptability to tight deadlines and changing priorities
  • Hands-on modeling experience
  • Experience with large-scale data processing and handling
  • Familiarity with Hadoop, Pig, Hive, Spark, or AWS
  • Experience with Java, Scala, or C++
  • Employment eligibility to work in the United States without visa sponsorship

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Strong & Reliable Incentives — Bonuses are often viewed as strong and materially boost total compensation when combined with benefits. Company-performance bonuses are highlighted as a recurring strength.
  • Leave & Time Off Breadth — Paid time off and paid leave are frequently highlighted as strengths within the total rewards package. These policies support work-life balance and contribute meaningfully to overall satisfaction.
  • Retirement Support — Retirement benefits are frequently mentioned as a positive component of the package. These offerings add tangible value beyond base salary.

American Express Insights

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The Company
HQ: New York, NY
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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