
Applied Artificial Intelligence & Machine Learning - Model Governance - Vice President
- Bangalore, Karnataka
- Permanent
- Full-time
- Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations
- Analyze the models through a risk-based lens and collaborate with developers to reduce model risk
- Provide feedback and collaborate with users and developers to ensure optimal development of ML models
- Develop and maintain a list of tests to validate various common techniques used to build Machine learning models
- Guiding models through the review process and enhancing and improving them as required
- Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB
- Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance
- Master's, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields
- Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools
- Strong written and oral communication and interpersonal skills
- Strong Stakeholder & Project Management skills
- Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues
- Basic understanding of the company's business practices and familiarity with the company's products and services
- Programming experience with Python; experience in MLOps would be a positive
- Experience with python programming and implementing machine learning techniques.
- Experience in Model Risk or Machine learning teams
- Experience in developing testing frameworks for ML models
- Experience in handling multiple stakeholders