Job Description

Analyst-Data Science AMERICAN EXPRESS

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 AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact
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 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, Python, SQL and SAS is a must have.
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
Compliance Language
:
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
Role: Data Science & Analytics – Other
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics – Other
Education
UG: Any Graduate
PG: Any Postgraduate, MBA/PGDM in Marketing
Key Skills
Career developmentSASFinanceAnalyticalBillingMachine learningWellnessRisk managementAnalyticsSQL