Business & Data Governance Associate - Data Science & AI
- This role covers a wide breadth of activities involving - interaction with senior stakeholders, understanding process pain points, ideating and developing hypotheses.
- The person will also be required to dive-deep into data, test hypotheses, perform quick hands-on analyses and build solutions prototypes (pertaining to Risk & Controls domain).
- We are looking for an individual with an understanding of operational risks emanating from interconnected risks of AI systems, data management, and cloud infrastructure.
- Lead the development of advanced analytics solutions for AI based automation of BAU processes for Data, Cloud & AI governance that are core to second line of defence responsibilities.
- Develop testing methodologies to evaluate AI systems for bias, fairness, explainability, and regulatory compliance.
- Conduct impact assessments for new AI/ML implementations within the firm.
- Develop comprehensive risk metrics that span AI, data, and cloud operations.
- Develop and execute testing methodologies to evaluate controls across all three domains (AI, Data, Cloud)
- Bachelor's or Master's degree in STEM (or any other quantitative field) is preferable but not required given relevant skillsets and experience.
- Several years of previous experience in data science/business analytics roles, with preferably an exposure to Financial Services.
- Exposure to consulting environment preferred. We are looking for agility to cross-connect ideas & best practices from one domain to another.
- Experience with risk management & AI governance frameworks in financial services preferred.
- Proficiency in Python and SQL for data analysis and model development.
- Intermediate understanding of machine learning algorithms, statistical modelling, Gen AI solution architecture.
- Familiarity with AWS and Snowflake environments is highly desired.
- The role focuses on hands-on data analysis of structured & unstructured data & not necessarily model building.
- Strong aptitude to grasp patterns in the data and perform hands-on analysis to test hypotheses (in the context of Risk & Controls domain).
- Excellent listening and verbal communication skills to explain technical concepts to non-technical stakeholders. Strong storytelling skills desirable.
- Ability to learn quickly is highly valued.
- Aptitude to continually learn and update one's knowledge base on the latest developments in AI technology & corresponding governance frameworks.
- Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
- Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
- Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
- Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
- Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).
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