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American Express Off Campus Hiring For Management Trainee Position- Apply Now !

American Express Off Campus Hiring Details:

About Company: At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.

Job Profile: Management Trainee

Company Name: Amex

Job ID: 21023567



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1. Enrol at Coding Ninjas (Service-Based Companies course) and learn from the best.
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4. Inaugral offer: Enroll Now at 40% off.

Experience Required: 0-4 Yrs

Degree Required: Any Graduates

Job Description

Functional Description

  • The Credit & Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers’ confidence in the security of our products.
  • It utilizes an array of tools and ever-evolving technology to
    detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience.
  • The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation.
  • CFR is responsible for developing and monitoring statistical models for predicting individual and commercial’ behaviors such as credit risk, fraud risk, spending and revolve. These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth. Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a  viable way.
  • Experienced professional in a team member role, well versed in statistical modeling techniques.
  • Nature of work is similar to Analyst 1 but level of supervision is lower. Position requires higher levels of knowledge and skill.
  • Assigned tasks are of low to medium complexity.

Purpose of the Role: 
Develop and enhance existing American Express risk strategies / statistical models by leveraging best-in class modeling
techniques and data across various stages of card member lifecycle
Critical Factors to Success: Business Outcomes:
• Drive billing, revenue growth and profitability through advanced analytical techniques
• Maximize business returns by institutionalizing efficient and accurate models.
• Innovate Modeling Techniques and Variable creation
• Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning Leadership

Outcomes:
• Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers,
partners, colleagues & shareholders.
• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity
• Lead with a digital mindset and deliver the world’s best customer experiences every day

Past Experience: 
0-4 years relevant experience in Analytical/Modelling Skills

Academic Background: 
Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from Top Tier Institutes

  • Analytics & Insights & Targeting
  • SAS, R, Python ,Hive, Pyspark, SQL • Advanced Statistical Techniques
  • Hands on programming and ability to design
  • Data Science/Machine Learning/Artificial Intelligence
  • Expertise in Coding, Algorithm, High Performance Computing
  • Unsupervised and supervised techniques – : active learning, transfer learning, neural models, Decision trees,
  •  reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques
  • Gradient boosting machines, self-reinforcing algorithmsnctional & Technical Skills/Capabilities:
  • Knowledge of Platforms: Big Data – Cornerstone, Teradata, BlueLight

Behavioral Skills/Capabilities: 
Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue
Box Values, Great Leadership Demands Courage

Shift Timings: 
• Mon-Wed- 1:00 pm -9:30pm
• Thur 11 am-7:30pm
• Friday – 8:30 am-5pm

Apply Before the link Expires.

Apply Link- Click Here to Apply

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