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 

    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:

 Master’s degree in quantitative field or MBA with analytics experience  

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 
• Understanding of finance and valuation concepts.

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