Manager-Data Science

Responsibilities:

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:
  
  • 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
      
  • 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
      

Minimum Qualifications:

• Bachelor's required In Economics, Statistics Or Related Fields


• At least 2 year’s experience in analytics or big data workstreams


• Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have


• Hands-on model development or validation experience. Good understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
  
• Strong Analytical and Relationship and project management skills for driving validation initiatives.
  
• 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.

Preferred Qualifications

• Master's degree preferred.


• Preferred 3+ years experience in analytics or big data workstreams


• Experience with NLP / NLU model and chatbot frameworks would be preferred.


• Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.

• 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