Manager, Data Science
At a glance
Manager-level Data Science role at Egug. New York · full-time · no salary stated · we estimate $138,369–$204,200.
Egug has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Review credit, fraud and line management models for sound concepts, reliable data, performance and ongoing monitoring
- Write model review reports and prepare materials for regulatory and internal audit examinations
- Explain review findings to business partners, senior leaders and regulators
- Assess how machine learning algorithms are used in models and update governance for changing modeling practices
What you bring
- An advanced degree in a quantitative field
- Working knowledge of machine learning, artificial intelligence, deep learning and traditional statistical methods
- Coding ability in Python or R
- Authorization to work in the United States without employer visa sponsorship
Who this fits
This manager role suits someone who can assess models and communicate findings to business partners, senior leaders and regulators. You’ll report to a director in model risk management.
From the employer
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.
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
- 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.
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