American Express Off Campus Drive 2021 | Experience: 0-4 years

American Express Off Campus Drive 2021:-

American Express hiring candidates for the role of Management Trainee for the Across India location. The complete details about American Express Off Campus Drive 2021 are as follows.

30 LPA Highest salary offered – 1650 on & off campus drives annually – 5 Lac + Jobs created in a year – Register & Apply to jobs( BE/BTech preferred )

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

Company Name:- American Express

Job Position:- Management Trainee

Job Location:- Across India

Salary Package:- As per Company Standards

Job ID:- 21023567

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Required Qualifications & Skills:-

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

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

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

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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 aviable 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.

Responsibilities(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

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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

Shift Timings:-