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Manager-Data Science

American Express · Posted Oct 5

Banking, credit card, payment network, and travel services

Gurugram, HR, IndiaFull-timeHybridLead/Staff3+ years₹25.0L–₹42.0L yearly100+ applicants
BankingPaymentsCredit CardsFinancial ServicesPublic Company
Full time

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About the role

The Agentic Risk Modeling team within American Express develops, documents, and implements state-of-the-art machine learning models that predict Agentic risk, continuously tracking model performance and reviewing cases to surface new data science opportunities. This role reports into the Director – Agentic Risk Modeling and leads a team of risk management professionals, partnering with Business Strategy, MRMG, and RPDS teams on credit and fraud risk decision science. The incumbent provides people and thought leadership for Band 30s while evaluating new internal and external data sources and variables for use in models and business strategies.

What you will do

  • Develop, document & implement models to capture Agentic risk.
  • Be extremely diligent & regular in tracking the performance of the model on an ongoing basis & propose corrective actions in a timely manner.
  • Partner with Business Strategy, MRMG, RPDS teams to ensure that models are continuously enhanced & stay world-class.
  • Maintain a disciplined process of reviewing cases to identify new modeling opportunities.
  • Evaluate new data sources - internal and external, as well as new variables designed from extensive case reviews for their efficacy in models and business strategies.
  • Be on a continuous look-out for identification of gaps in today's modeling process & propose / recommend solutions to solve for those gaps and make existing solutions more robust.
  • Provide people and thought leadership for Band 30s.

Skills used in this role

PythonPySparkSQLBigQueryHiveMLSMachine LearningGenAI

What the employer is looking for

  • 3 or more years of Relevant/Related Work Experience in Credit & Fraud Risk with Demonstrated Track Record of Strong Performance.
  • Post Graduate Degree in Management / Statistics / Mathematics / Economics / Engineering from a reputed institute.
  • Proficiency in programming with Python, PySpark, SQL on BigQuery, Hive Terminal, MLS
  • Knowledge of platforms systems like Lumi, Cornerstone, CAS, AMP, etc.

Preferred qualifications

  • Experience in working with Gen AI applications.

Benefits and support

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • 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 American Express

American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.

Industry
Banking
Company size
76800 employees
Founded
1850-03-18
Location
New York City, New York, USA
Funding stage
Public Company

Leadership

SJ
Stephen J. Squeri

Chairman and Chief Executive Officer

CL
Christophe Le Caillec

Chief Financial Officer

RR
Ravi Radhakrishnan

Chief Information Officer and Executive Vice President

MR
Monique R. Herena

Chief Colleague Experience Officer

ER
Elizabeth Rutledge

Chief Marketing Officer