Analyst-Data Science

Key Skills

Aartificial intelligence, Algorithms, Data Analytics, Data science techniques, Deep Learning, Leadership Skill, Machine learning techniques, PySpark, Python Programming, Random forests

Job Description

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 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

1. 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 models
• 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

Minimum Qualifications:

0-2 years' experience in analytics or big data workstreams 

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 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 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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• 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.