Analyst-Data Science
- American Express
- 0 - 2 years
- Noida, Gurugram
- 4 days ago
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Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
- Functional Description :Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.Roles & Responsibilities :The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include:Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models,Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standardsConduct research to explore opportunities to elevate model excellence and drive business impactCommunicating results to partners, senior leadership and various model committeesCritical Factors to Success:1.Business Outcomes:Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive modelsMaximize business returns by institutionalizing efficient and accurate models.Innovate modeling techniques and variable creationEnsure modeling accuracy and enhance modeling efficiency in existing processes2. 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 the existing modelsDemonstrate learning agility, make decisions quickly and with the highest level of integrityLead with a digital mindset and deliver the world s best customer experiences every dayMinimum Qualifications:0-2 years experience in analytics or big data workstreamsMaster s degree in economics, Statistics or Related Fields from Top Tier InstituteFunctional 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 at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining AlgorithmsBehavioral Skills/Capabilities:Enterprise Leadership BehaviorsSet The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External PerspectiveBring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration EssentialDo It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: American ExpressLocation(s): Noida, Gurugram+ View Contact
Keyskills: Text mining Career development data science Coding Analytical Machine learning Wellness Risk management Analytics Python
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