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:
Preferred 4+ years of 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:
Technical Skills/Capabilities:
Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have.
Compliance Language
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: