Manager, Data Science

Manager, Data Science

New York, NY, United States

(Hybrid)

** Job Description*
* 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.

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.

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 ()

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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,…