• American Express - Manager - Analytics - Risk Management Domain Jobs in Gurgaon,India - 23839256

  • American Express

Job Description:

Why American Express?

- Theres a difference between having a job and making a difference American Express has been making a difference in peoples lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards

- We have also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community And when they- re ready to take on a new career path, we- re right there with them, giving them the guidance and momentum into the best future they envision Because we believe that the best way to back our customers is to back our people

Shift - Rotational

Function Description

- Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models It manages and controls model risk in order to elevate model excellence, strengthen long term Shareholder value and satisfy Regulatory expectations

- The successful candidate would be part of MRMG and will be responsible for leading model risk reviews of consumer, small business and institutional models

The specific responsibilities include

- Lead independent reviews consumer, small business and institutional machine learning models and algorithms which include evaluating conceptual soundness, performance validation, and on-going monitoring

Purpose of the role

- Exploring the applicability of machine learning techniques in AXP models

- Partner with technology team to automate performance and data monitoring capabilities

- Drive strategic projects or research that drive or elevate model excellence

- Communicating results to partners, senior leadership and various model committees

Critical Factors to Success

1 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

2 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


Past Experience

- 4+ years experience in analytics, big data work streams

Academic Background

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

Functional Skills/Capabilities

- Hands-on model development or validation experience

- Strong Analytical and Relationship and project management skills for driving validation initiatives

- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred

- Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment

- Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution

- Effectively communicating complex Analytical results to Business Partners and Senior Management

- Flexibility and Adaptability to Work Within tight deadlines and changing priorities

Technical Skills/Capabilities

- Experience with data manipulation tools such as R, JAVA, SQL and SAS is a must have

Job type - Permanent

Industry Type - Operations

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Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 18th Apr 2020

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