Job Overview

Location
Gurugram, Haryana
Job Type
Full Time
Date Posted
8 months ago

Additional Details

Job ID
22375
Job Views
126

Job Description

As a part of the team, you’ll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry’s top leaders in analytics, data science and machine learning. If you’re passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.

 

Description on the role 

 

Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.

 

Responsibilities: 

  • 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.

 

Minimum Qualifications

•            MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields

•            0-30 months of experience in analytics, big data workstreams  

•                 Ability to drive project deliverables to achieve business results

•                 Ability to work effectively in a team environment

•                 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 

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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

Qualification

MBA, Master’s Degree

Experience Requirements

Freshers, Experienced

Location

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