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Shivang Mehta

HR at American Express

Last Login: 22 April 2024

2181

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Consulting

Job Code

1137267

American Express - Manager/Senior Manager - Risk Management

5 - 10 Years.Gurgaon/Gurugram
Posted 1 year ago
Posted 1 year ago

You Lead the Way. We've Got Your Back.

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. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

Functional Description

Global Commercial Services (GCS) continues to be a fast-growing business within American Express with the key objectives of accelerating growth, increasing profitability, and enhancing product value propositions to meet client needs. The Client Onboarding and Data Capabilities (CODC) team within GCS is instrumental in driving these objectives by providing actionable data driven insights and consultative solutions to core marketing teams across the globe. The open role is an exciting opportunity to be part of the GCS growth story in a dynamic, intellectually stimulating, open, fun and collaborative environment.

Purpose of the role:

This role will support an innovation journey, creating new capabilities and revenue streams for the fast-accelerating GCS business in the high potential B2B payments domain. This would involve development & deployment of cutting-edge predictive analytics/Data Science solutions to predict the best fit product for our customers which will enable the next growth wave for Commercial business of AMEX. The candidate should exhibit a high level of expertise in data understanding through statistical analysis, decision support logic and data modeling techniques

Responsibilities:

- Leverage AMEX data as well as external client data (AP files) and other industry statistics to drive formulation of solutions

- Take initiative to engage with cross-functional teams such as B2B Product Management, Sales and Account Development, wider GCS to understand current activity, draw linkages, identify synergies

- Ability to use statistical tests to determine the robustness of the data and the validity of the models.

- Awareness and active understanding of evolving marketplace, new offerings, Start-up landscape

Critical Factors of success:

- Strong analytical skills and exposure to advanced techniques and modelling

- Exceptional communication and presentation skills, with ability to present and translate complex information to both executive and technical partners

- Should be able to work with minimum supervision and a high sense of ownership

Past Experience:

- Prior experience with a financial organization, in the domain of Corporate Banking, Commercial Cards or Supplier payment products

- At least 5 years of experience overall, in advanced analytics / modelling

- Minimum 2 years of experience in the financial analytics / supplier payments domain


Minimum Qualifications:

- Advance Degree in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, Computer Science

- Deep understanding of machine learning/statistical algorithms such as time series analysis, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus

- Expertise in model explainer techniques like SHAP

- Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent)

- Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent)

- Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights

- Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability, and comfort with working independently and making key decisions on projects

- Team player with strong relationship building, management and influencing skills

- Strong verbal and written communication skills

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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Posted By

user_img

Shivang Mehta

HR at American Express

Last Login: 22 April 2024

2181

JOB VIEWS

236

APPLICATIONS

83

RECRUITER ACTIONS

Posted in

Consulting

Job Code

1137267

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