American Express - Business Analyst - Credit & Fraud Risk Analytics

Job Description

Why American Express?

There's a difference between having a job and making a difference.American Express has been making a difference in people's 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- ve 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.

The powerful backing of American Express. Don- t make a difference without it. Don- t live life without it.

Function Description :

The 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.

Purpose of the Role :

- The purpose of the role is to work on development of Loss Forecasting models (PD/LGD/EAD) for CECL and IFRS9 Regulatory frameworks

Responsibilities :

The person is expected to work on Credit Risk Modeling. The responsibilities include :

- Development of CECL and IFRS9 modeling framework (PD/LGD/EAD) to meet the new credit reserve standards set by the Financial Accounting and Standards Boards (FASB) and the International Accounting Standards Boards (IASB).

- Development and enhancement of CECL and IFRS9 loss forecasting models (PD/LGD/EAD) for credit and charge card portfolios.

- Perform quantitative analysis to evaluate multiple alternatives to generate insights and derive recommendations.

- Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.

- Development of business requirements and collaboration with technology partners for model implementation

Critical Factors to Success :

- Strong SAS and SQL programming skills, previous expereince in development of PD/LGD/EAD models for CCAR/IFRS9/CECL regulatory submissions and right attitude.

Business Outcomes :

- Development of Credit Risk Loss Forecasting models for IFRS9 and CECL regulatory submissions

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

Qualifications :

Past Experience :

- 0-4 years with relevant experience in Analytical/Modelling Skills

Preferred : Experience in SAS/SQL programming and/or Statistical modeling

Academic Background :

- Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management

Functional Skills/Capabilities :

Data Science/Statistical Modelling/Machine Learning/Artificial Intelligence

a. Expertise in Coding, Algorithm, High Performance Computing

b. Logistic/Linear/Fractional Logistic Regression Modelling

c. Advanced Statistical Techniques

d. Data correlation

e. Model Accuracy Techniques : Gini, Concordance, F-Score

Technical Skills/Capabilities :

- Strong analytical and data analysis skills (SAS, SQL)

- Previous model development experience is desirable.

- Strong analytical and data analysis (SAS, SQL) skills.

- Ability to apply advanced statistical and/or other quantitative techniques to solve business problems.

- Good written and oral communication skills.

- Ability to articulate complex theories, concepts, methodology and findings.

- Self motivated and with a sense of urgency.

- Willingness to work in a team environment and to cooperate with multiple partners.

Knowledge of Platforms :

- SAS, SQL, Cornerstone,

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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