HSBC Group

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Assistant Vice President - Regulatory Compliance Artificial Intelligence & Analytics

Principal responsibilities

• The role is to support the Regulatory Compliance team is overseeing and administering the compliances of Fair Lending requirements for regions. The role is designed to support the US Fair Lending Compliance team in testing the compliances of US Fair Lending requirements. The role holder will work with in RC AI & Analytics and act a lead in the area of Fair lending Models, with the following accountabilities:
• Conducting data analytics, identify themes and gaps and presents conclusions.
• Using Advanced analytical skills and emerging technology, develop proactive and pragmatic solutions to continually improve processes/approaches/solutions existing within the process.
• Identification, tracking and communication of exceptions, escalate any significant data / process issues to on time to In-country teams and find probable solutions to streamline the process if required.
• 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 new technology.
• Drive, develop and deliver analytical solutions that are fully documented and explained that meet the business aims/requirements.
• Ensure model validators and auditors are provided with management action plans in a timely manner; Strive to address and mitigate all the existing / identified model issues across all the Fair Lending models leading to favourable model risk ratings.
• Exercises responsibility for updates to existing models through regular monitoring and validation of results.
• Drive the changes in the scope as part of Global initiatives / restructures.

• University degree in Statistics, Mathematics, Economics on any other quantitative discipline, technology, data analytics or related discipline or relevant work experience in Data Science
• Minimum of 6-8 years of experience in Financial / Banking Services Industry in Data Analytics using statistical tools, SAS.
• Well-developed communications, analytical, and organizational skills. Strong analytical and verbal /written skills to articulate results of complex analysis/report findings.
• Experience with HSBC Risk, Finance and Compliance is a plus. Proven ability to accomplish high-level objectives in the context of annual business and compliance plans.
• Proficiency in MS Office, (MS Word, MS Excel, and MS Power Point) is a must and working knowledge of tools like Python, R, AI .
• Proven ability in People Management and working experience in project management area is an added advantage.
• Strong business acumen with ability to diagnose and articulate business problems.
• Should posses strong planning and organising skills, continuously re assess the priorities and make best judgements.
• Exemplary coding skills on SAS application is essential.
• Strong understanding of applied statistics, mathematics and data science principles.

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.”

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