Analytics Model Validation

About the job

Job Title : Analytics Model Validation Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 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 Analytics Model Validation In this role, you will : • The individual will be responsible for reporting RC AI & Analytics Risk Assessment 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. • Enable the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of data science (AI / ML and advanced analytics) • Extend strategic support towards communication and engagement with stakeholders and partners to increase understanding and adoption of data science products and services also research opportunities. • 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. To be successful you will : • University degree in technology, data analytics or related discipline or relevant work experience in computer or Data Science • Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks. • Experience in Financial Services (experience within a tier one bank) or related industry • Have good interpersonal and communication skills, coupled with proven experience working in a matrixed management structure, managing global teams. • Effective communication (both verbal and written) and presentation skills. • Fair understanding of applied mathematics, statistics, data science principles and advanced computing (machine learning, modelling, NLP and Generative AI) • Moderate experience working within the Hadoop ecosystem 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. • Medium level understanding of data & architecture concepts including cloud, ETL, Ontology, Data Modelling. 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

Qualifications

• University degree in technology
• data analytics or related discipline

About the company

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 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.