HSBC Group

Business: CIB I&A
Open positions: 1
Role Title: AVP GSC’s
Global Career Band: 5
Location (Country / City ): Bangalore/Hyderabad
Recruiter Name : Hariharasudhan G
Why join us?
Who we are:

• CIB Insights and Analytics (CIB I&A) is a hub of advanced analytics competency, providing high-end analytics services across global businesses and global functions. The work done in CIB I&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 CIB I&A team generates value across the group through a wide variety of data and analytic solutions and related Strategic solutions. CIB I&A has become a one-stop shop for the CIB I&A section of the group’s analytic needs leading the integration of analytics and data-driven decisions not only in traditional areas such as CIB I&A and 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/China/Mexico/Poland) providing analytics, data & insight support to various CIB I&A, CMB/ GB portfolios. 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.
  The Opportunity:
• The person in this role is expected to re-design and rationalize the Analytics, Technology, Architecture and Data. We are seeking an Assistant Director – Insights & Analytics to join the Insights & Analytics (I&A) team withing the CIB I&A. 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 Wholesale. The person will work closely with business stakeholders and other data professionals to develop and implement data-driven solutions for various bank wide use cases.
  What you’ll do: 
  Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.)
• Extract, transform, and load (ETL) from various sources, ensuring data quality, accuracy, and integrity. Design and optimize data pipelines, ensuring efficient data extraction, storage, and processing. 
• Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities.
• Understand business requirements, identify root cause of the issue and provide sustainable resolution
• Acquire knowledge in banking/financial products and services, revenues drivers and financial risk parameters
• Strong understanding of the data source, risk-related performance measures, in particularly with RoRWA methodology
• Identify opportunities for process improvement, automations and drive changes independently
• Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities. 
• Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback.
  Leadership & Teamwork  
• Work with and leverage solutions and approaches developed by the wider HSBC Analytics community.
• Own end to end delivery responsibility of Data Science projects and guide, train and mentor junior team members involved in the project. 
• Continuously strive to increase competency and subject matter expertise on related topics
• Contribute to initiatives at a CIB D&A level.

What you will need to succeed in the role: 
Functional Knowledge

• Good to have knowledge of Banking domain use cases with specific applications to data science problems.
• 6+ years of relevant experience, preferably in banking and financial sector.
• University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, Masters degree is preferred.
• Proficiency in using Python, SQL, or similar analytically oriented programming languages.
• Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, 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.
• In depth knowledge and experience with machine learning techniques and algorithms will be a strong plus.
  Others
• Contribute to innovation initiatives and overall data science strategy under the wholesale data science head.
• Advocate and promote the use of data science to drive fact-based activity and behaviour in wholesale banking globally.
• 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 experience leading and delivering applications leveraging Gen AI tools and APIs.
  Link to Candidate User Guide:
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  Go to the below link and type “IND GSC : IJP Applicant User Guide” in search bar. https://hsbchrdirect.service-now.com/hrsp?id=hrdirect_employee_dashboard
  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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