Analyst-Data Science at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Risk Management, Artificial Intelligence, Machine Learning, Statistical Techniques, Analytical Skills, Project Management, Communication Skills, Collaboration, Data Manipulation Tools, Coding, Predictive Models, Model Validation, Business Impact, Innovation, Flexibility, Adaptability

Industry

Financial Services

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, you'll 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. Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. 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 Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types. • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards • Conduct research to explore opportunities to elevate model excellence and drive business impact • Communicating results to partners, senior leadership and various model committees Critical Factors to Success: 1.Business Outcomes: • Effectively challenge the conceptual soundness , theory and approach,purpose/usages of predictive models • 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 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 Past Experience: 0-4 years experience in analytics or big data workstreams Academic Background: MBA, Master’s 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 atleast one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have. Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Teachniques - 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 Algorithms 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 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities 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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Responsibilities

The successful candidate will manage and control model risk associated with AI and ML-based models. Responsibilities include conducting oversight of enterprise-wide models and establishing frameworks to strengthen model risk controls.