• American Express - Business Analyst/Assistant Manager - Risk & Digital Analytics Jobs in Gurgaon,India

  • American Express
  • Save Job
  • 0 - 4 Years
  • Posted : above 1 month

Job Description:

Function Description

- A single decision can have many outcomes And when that decision affects hundreds of thousands of customers and employees, it needs to be the right one Thats where our Enterprise Credit & Fraud Risk Management and Enterprise Digital & Analytics teams comes in

- ECFRM & EDA are the backbone of all financial services operations at American Express- it impacts every aspect of the company As a part of this team, you- ll work with the industrys top ECFRM & EDA teams to create smart but innovative strategies that advance our market share and the way we do business

- If you- re interested in getting to know all areas of our business and can translate our business needs into remarkable solutions, you should consider a career in ECFRM & EDA

Job responsibilities

- There are three Job families within Enterprise Credit & Fraud Risk Management and Enterprise Digital & Analytics teams Specific job responsibilities vary as per the Job family

Decision Sciences

- 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

Business and Analytical Solutions

- Development, review and/or execution of economic logic & analytical solutions to drive profitable marketing or credit business actions

Big Data Labs Develop Big Data capabilities, tools and techniques to enhance Credit and Fraud Risk, and Information Management functions

Responsibilities

- 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

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 roles 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 worlds best customer experiences every day

Qualifications

Past Experience 0-4 years experience in analytics, big data workstreams

Academic Background MBA, Masters Degree In Economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities

- Ability to drive project deliverables to achieve business results

- Ability to work effectively in a team environment

- Strong communication and interpersonal skills

- Ability to learn quickly and work independently with complex, unstructured initiatives

- Ability to Integrate With Cross-Functional Business Partners Worldwide

- Good Programming skills are a must

- Knowledge of SAS, Java, Hive, Pig, Python, SQL is a plus

- Knowledge of MS Office - PowerPoint, Excel

Technical Skills/Capabilities

1 Analytics & Insights & Targeting

- SAS, R, Python, Hive, Pyspark, SQL

- Advanced Statistical Techniques

- Hands on programming and ability to design

2 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, attribute engineering

- Gradient boosting machines, self-reinforcing algorithms

Knowledge of Platforms Big Data - Cornerstone, Teradata, BlueLight

Job type- Permanent

Industry Type - Operations

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Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 16th Jan 2020

Key Skills:

Company Profile:

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