Senior Assistant Vice President - Regulatory Compliance Artificial Intelligence & Analytics (7-14 yrs)

Senior Assistant Vice President, Regulatory Compliance AI and Analytics

Principal responsibilities:

- The individual will be responsible for reporting RC AI & Analytics scorecard and key performance indicators in a timely and accurate manner

- Provide support to the Governance team and guide Model stakeholders to complete Model Governance based on Model life cycle phases.

- Need to closely work with Model stakeholders in creating bank mandatory documentation and present to various forums for their successful recommendation/approval.

- Presentation to make sure Governance forums get enough information about Model.

- Deliver fair outcomes for our customers and ensure own conduct maintains the orderly and transparent operation of financial markets.

- Act as support to senior management and team whilst building relationships with the wider Regulatory Conduct function community.

- Stakeholders will include RC ExCo and Exec team at a Country, Regional and Global LOB level.

Qualifications:

- Graduation / Post Graduation degree

- Should be adept in using MS Office with exceptional MS Excel Skills.

- Any professional Business Management Certification like PMP would be a plus

- Reporting skills: intermediate / advanced excel and ppt.

- Knowledge in MS Office Suite, MS PowerPoint & Excel is mandatory.

- Practical and theoretical knowledge of programming tools, preferably with proficiency in any one or combination of tools such as Excel pivot, Mailbox management, SQL, Alteryx, Qliksense, Tableau, Qlikview, Python, etc. would be beneficial.

- Good organizational, analytical, problem-solving and verbal and written communication skills.

- Excellent communication and presentation skills are imperative, as are good tact and diplomacy, as the role requires regular dealing and relationship management with senior executives from within the Group ..

- Effective Time management & prioritization skills with an ability to prioritize competing demands and deliver against stringent deadlines

- Demonstrates self-awareness of own strengths and weaknesses, seeking feedback, building open and honest relationship with colleagues/managers

- Takes ownership of personal and professional development, increasing professional knowledge and skills experience

- Deep understanding about various data cleaning exercise.

- Strong understanding about various Model methodologies such as multiple regression, random forest, decision tree etc.,