Job title: Assistant Director, RC AI and Analytics
• Regulatory Compliance ensures adherence to applicable regulations and standards by setting policies which cover HSBC’s regulatory requirements and mitigate conduct and reputational risk issues. The team strives to remain ahead of the regulatory change agenda and ensures the business understands the implications and is prepared for change. It monitors how Global Businesses and Functions manage their responsibilities with regard to complying with the regulations and helps resolve compliance deficiencies.
• The role holder will support the Regulatory Conduct AI & Analytics and act as a lead in the area of Trade Surveillance with the following accountabilities towards:
• Continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of current technology.
• Develop proactive and pragmatic solutions to continually improve processes/approaches/solutions existing within the process.
• Drive, develop and deliver analytical solutions that are fully documented and explained that meet the business aims/requirements.
• Identify, monitor, and mitigate top and emerging risks and ensure Senior Management awareness.
• Exercises responsibility for updates to existing models through regular monitoring and validation of results.
• The role holder must ensure at all times appropriate model governance is followed, be abreast with changes in model risk policies, relevant regulatory guidance and educate the team and stakeholders about them.
• Ensure model validators and auditors are provided with management action plans in a timely manner; Strive to address or mitigate all the existing model limitations across all the Trade Surveillance models leading to favorable model risk ratings. Governance and Committee Memberships (membership of ExCos, Risk Management Meeting)
• As per relevance In this role, you will: Impact on the Business
• The individual will be responsible for reporting RC AI & Analytics scorecard and key performance indicators in a timely and accurate manner.
• Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives.
• Guide the teams and the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of advanced analytics for development, setting up appropriate validation procedures, regular and robust monitoring and data quality assessments.
• Support communication and engagement with stakeholders and partners to increase understanding and adoption of data science products and services also research opportunities.
• Communicate often complex analytical solutions to the wider department, ensuring a strong transfer of key findings & intelligence.
• Follow best practices of project management and highlight any risks and issues to business stakeholders and senior management.
• Manage expectations with stakeholders on scope, capacity, resource gaps, hiring lead times and any other constraints. Customers / Stakeholders
• Reporting to Head of Trade Surveillance in RC AI & Analytics Regulatory Compliance or a senior delegate
• Partner with relevant stakeholders within IT, Product management, Transformation, Programme Management to deliver innovative analytical solutions to meet business demand.
• Collaborate closely with third party vendors while dealing with third party solutions adopted for detection of market abuse to establish clear understanding of model and its working and ensure necessary validation and controls required.
• Empower effective engagements between Risk Stewards and 1LOD, to understand business problems and propose analytical solutions whilst enabling smooth and effective deployment and change.




• Operate on control functions with the Audit and Independent Model Review (IMR) to certify the effective operation of the control framework including sharing best practice and thematic read across. Leadership & Teamwork
• Work with resourcing teams, other members of the team in order to achieve effective and timely hiring.
• Motivate team to perform at their best through performance management, talent management, coaching and support for their development; Proactively identify and address any people management related challenges within the team.
• Guide junior team members to develop solutions for the application of advanced analytics in regulatory compliance and must be able to critically interpret and analyze the results produced and also drive the same within the team.
• Collaborate with other analytics teams across the banks to share insight and best practice.
• Foster a collaborative, open and agile delivery culture.
• Build positive momentum for change across the organization with the active support and buy-in of all stakeholders Major Challenges
• Rapidly responding to emerging risks and threats.
• Establishing the function as a valued commodity to assist in banks response to compliance risk.
• Working in a highly matrixed environment with multiple stakeholders with sometimes conflicting objectives
• Operating within a continually changing environment where priorities and objectives can continually change.
• Keeping the bank compliant and customers data safe in a changing landscape of data sharing legislation.
• Expected to be at the leading edge of the new technical skill set and working with new emerging tech. Management of Risk
• Responsible for development, management and ownership of Trade Surveillance models for Regulatory Compliance as classified by the Group Model Risk standards and ensuring that these are in accordance with these standards.
• Implement and oversee appropriate controls and governance to any analytical products or services that are classified as non-models.
• Provide appropriate and timely management and remedial action to any risks, issues or findings related to their responsibilities.
• Responsible for operational, human capital and regulatory risk relating to the area. To be successful you will: Experience
• University degree in Statistics, Mathematics, Economics on any other quantitative discipline, technology, data analytics or related discipline or relevant work experience in Data Science
• Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks.
• Experience in Financial Services or related industry
• Must have led analytics projects delivery with a team
• Experience of agile development. Soft Skills
• Have good interpersonal and communication skills, coupled with proven experience working in a matrixed management structure, managing global teams.
• Active contribution to strategy and innovation.
• Able to work independently and solve complex business problems whilst keeping stakeholders informed.
• Have strong organizational and planning skills.
• Client focused, with strong relationship building and analytical skills.
• Strong business acumen with ability to diagnose and articulate business problems
• Ability to translate business problems into data and analytics requirements and recommend solutions for adoption and commercialization
• Effective communication (both verbal and written) and presentation skills.
• Sound judgment and critical thinking skills, ability to think laterally.




• Able to manage numerous tasks with continual re positioning and prioritization.
• Those of the above skills which the role holder does not currently bring to the role, will need to be developed. Functional Knowledge
• Ensure business and regulatory implications of system design and operation are proactively anticipated, considered and communicated throughout the lifecycle.
• Establish manual and automated technical processes to ensure and evidence rigorous adherence to Group policies and management of operational risk.
• Develop and present options to implement controls whilst retaining full benefit from investment in systems.
• Maintain sound understanding of key threats and system vulnerabilities and engage proactively with risk stewards to mitigate the impact of compromise. Functional Knowledge Experience
• University degree in Statistics, Mathematics, Economics on any other quantitative discipline, technology, data analytics or related discipline or relevant work experience in Data Science
• Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks.
• Experience in Financial Services or related industry
• Must have led analytics projects delivery with a team
• Experience of agile development. Soft Skills
• Have good interpersonal and communication skills, coupled with proven experience working in a matrixed management structure, managing global teams.
• Active contribution to strategy and innovation.
• Able to work independently and solve complex business problems whilst keeping stakeholders informed.
• Have strong organizational and planning skills.
• Client focused, with strong relationship building and analytical skills.
• Strong business acumen with ability to diagnose and articulate business problems
• Ability to translate business problems into data and analytics requirements and recommend solutions for adoption and commercialization
• Effective communication (both verbal and written) and presentation skills.
• Sound judgment and critical thinking skills, ability to think laterally.
• Able to manage numerous tasks with continual re positioning and prioritization.
• Those of the above skills which the role holder does not currently bring to the role, will need to be developed. Technical Knowledge
• Good understanding of applied mathematics, statistics, data science principles and advanced computing (machine learning, modelling, NLP and Generative AI)
• Experience of working in big data ecosystems in addition to strong technical skills in analytical languages such as Python and SQL. Specific knowledge of GCP, AWS, Azure, Spark and/or graph theory an advantage.
• Experience of visualization tools and techniques including Qlik and Tableau
• Good understanding of data & architecture concepts including cloud, ETL, Ontology, Data Modelling.
• Experience of using JIRA, GIT, Confluence, Teams, Advanced Excel Hsbc.com/careers You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. *Issued By HSBC Electronic Data Processing (India) Private LTD*

📌 Assistant Director, RC AI and Analytics (Bengaluru)
🏢 HSBC
📍 Bengaluru