UK Data and Analytics (UK D&A) is a hub of advanced analytics competency, providing high-end analytics services across global businesses and global functions. The work done in UK D&A forms a vital input towards for strategic planning by the senior management for businesses and enables effective decision making along with addressing unforeseen challenges.
Today, the UK D&A team generates value across the group through a wide variety of data and analytic solutions and related business consulting. UK D&A has become a one-stop shop for the UK D&A section of the group’s analytic needs leading the integration of analytics and data-driven decisions not only in traditional areas such as UK D&A & Commercial Banking but also in new domains such as Regulatory, Operations, Procurement, Credit & Lending, IT Infrastructure, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management and analysis.
The team based out of multiple locations across the GSCs (India) providing analytics, data & insight support to various UK D&A, CMB GB portfolio. Team’s focus is on using logical thought process and relevant statistical techniques and right tools & techniques & productize scaled solutions to analyse product portfolio metrics and risk behaviour to arrive at value-based optimum decisions
This function is part of the UK Business COO function and aims at bringing together existing CMB and GB D&A functions into a single UK D&A Data & Analytics function. As part of this significant programme of change, the function is expected to re-design and rationalize the Analytics, Technology, Architecture and Data. We are seeking an Manager – Data and Analytics to join our team. The person will play a key part in using the power of data to solve problems, improve efficiency and generate actionable insights to support the business operations within UK D&A. The person will work closely with business stakeholders and other data professionals to develop and implement data-driven solutions for various Whole use cases.
In this role, you will:
Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.)
Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities.
Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities.
Develop innovative and impactful data-based tools and models for propensity modeling and risk mitigation, continuously evaluate the effectiveness of models and make recommendations for improvements.
Leadership & Teamwork
Work with and leverage solutions and approaches developed by the wider HSBC Analytics community
To be successful you will:
Functional Knowledge
Good to have knowledge of Banking domain use cases with specific applications to data science problems.
3+ years of relevant experience, preferably in banking and financial sector.
University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, Master’s degree is highly preferred.
Proficiency in using Python, SQL, or similar analytically oriented programming languages.
In depth knowledge and experience with machine learning techniques and algorithms. Experience with cloud analytics platforms such as GCP and GenAI etc.
Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation.
High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery.
Open minded and self-motivated with good communication and interpersonal skills as well as strong sense of responsibility.
Knowledge and good experience with data visualization tools such as Qlik Sense will be a strong plus.
Others
Contribute to innovation initiatives and overall data science strategy under the UK D&A data science head.
Keeping up to date on the latest advanced analytics and big data technologies. Engage with academia on shared research topics related to new trends in advanced analytics.
Good to have exposure to state of the art Gen AI tools
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***
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