Manager, Data Science

American Express Company
New York, NY, United States
12 days ago
Apply on www.manhattanjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$103,750.0 - $174,750.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Artificial Neural Networks Big Data C++ (Programming Language) Fraud Prevention and Detection Apache Hadoop Apache Hive Python (Programming Language) Machine Learning Scala (Programming Language) Working Model 2D
+4 more
Performance Testing Apache Spark Deep Learning Xgboost

Job description

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, 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.

Requirements

  • 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.

Benefits & conditions

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

About the company

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., At American Express, our culture is built on a 175-year history of innovation, shared values (https://www.americanexpress.com/en-us/company/who-we-are/)

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.manhattanjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:09 min

Configuring synthetic data for safe interactive programming

Mingshen Sun Mingshen Sun · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

9:47 min

Transforming tabular metrics into meaningful business value dashboards

Boris Krumrey +2 · LIVE

Videos

See all

Related articles

See all