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Senior Analyst-Data Science

American Express · Posted Oct 16

Banking, credit card, payment network, and travel services

Gurugram, HR, IndiaFull-timeHybridSenior Level2–4 years₹18.0L–₹29.0L yearly41 applicants
BankingPaymentsCredit CardsFinancial ServicesPublic Company
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About the role

The Credit and Fraud Risk (CFR) Analytics & Data Science CoE team at American Express drives profitable business growth by reducing fraud risk and maintaining industry-low credit loss rates, using data and digital advancements to improve risk management and enable commerce. The team applies analytics and machine learning across customer targeting, underwriting, and onboarding to support every aspect of the company's financial services operations. This role covers development, deployment and validation of predictive models and their use in economic logic to enable profitable decisions across risk, fraud and marketing.

What you will do

  • Understand the core business of AXP and the levers behind various decisions
  • Analyze large amounts of data to derive business insights and create innovative solutions
  • Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
  • Innovate with a focus on developing newer and better approaches using big data & machine learning solution
  • Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
  • Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Skills used in this role

SASRPythonHiveSparkSQLMachine LearningBig DataDecision TreesBayesian ModelsReinforcement LearningNeural NetworksGraphical ModelsGaussian ProcessesMapReduceHigh-Performance ComputingCommunicationProblem Solving

What the employer is looking for

  • MBA, master’s degree in economics, Statistics, Computer Science Or related fields
  • 24-48 months of experience in analytics, big data workstreams.
  • Ability to work effectively in a team environment
  • Ability to drive project deliverables to achieve business results
  • Strong communication and interpersonal skills
  • Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
  • Ability to Integrate with Cross-Functional Business Partners Worldwide
  • SAS, R, Python, Hive, Spark, SQL
  • Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

Preferred qualifications

  • Expertise in Coding, Algorithm, High Performance Computing

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

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