Vice President

4 weeks ago

bangalore, India HSBC Full time

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 Vice President - Decision Sciences, GSC

Wholesale CDAO Function: 

This function is part of the Wholesale COO function and aims at bringing together existing CMB and GB D&A functions into a single Wholesale 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. The key areas of focus for the WCDAO function include:

Defining the Wholesale Data & Analytics strategy with a focus on Asia. Continue to stretch HSBCs ambition and push boundaries on the use and adoption of Data & Analytics to unlock value and drive growth 10x. Continue the pivot to all Regions to deliver value to our stakeholders – customers, employees, regulator and investors. build locally, deploy globally Embed Customer Led Design in our delivery life-cycle and evolve our delivery methods continued focus on agile @scale. Design and build a Customer Responsive Architecture - delivering on customer expectations in understanding their needs by capturing, interpreting and connecting every customer and market event in real-time. Driving Next Gen MI – shape how we run, manage and report on our business in real-time Deliver a new Operating model. Scale of common and shared services utilities with the potential to Build, Operate and Transfer utilities into 1. Group; 2. Platform integration/convergence; 3. Effective Organisation Design; 4. Embed Minimum Viable Governance Deliver and evidence return on investment on our committed Book of Work. Collaborate effectively with xLoB, Group Functions and Group with a particular focus on building common capabilities and stakeholder value Gain industry recognition for delivering a differentiating proposition to our key stakeholders People Focus - Investment in our People, with focus in the areas of Career Planning and development, Customer Experience, Raising awareness in Risk, Control and Finance & Story Telling

WDAC Data Science Chapter India:

WDAC Data Science Chapter India is one of the key pillars of WDAC delivery organization. The team comprises a diverse mix of talents and backgrounds, uniting to harness the potential of data with advanced analytics. We are on a mission to derive valuable insights from both structured and unstructured data, committed to maintaining top-notch standards of precision in our tools and methods, consistently following data science's best practices and principles. Our vision goes beyond analysis; we strive to cultivate a culture of knowledge exchange and teamwork to enhance our team members' grasp of data science and advanced analytics concepts. Join us on this thrilling journey as we explore the realm of data and lead innovative changes in wholesale banking using the power of data science.

Principal responsibilities

Cascades business strategy and operational goals gaining commitment to them Guides and supports management team through periods of change Provides clear direction and sets performance targets for business unit team managers Pre-dominant specialist may oversee and support a number of senior specialists Build and leverage deep relationships with senior leaders to understand key strategic issues and imperatives, define opportunities, prioritise and meet demand. Demonstrate excellent communication and stakeholder management capabilities; the power to motivate, influence and engage audiences across group and at all levels throughout the business; the ability to make the complex simple and inspire action through analytics and insight.  Attract, grow and galvanize top talent; champion diverse thinking and inclusion, create the conditions for excellence and drive positive change through action. Become a trusted advisor, manage stakeholder’s expectations and working relationships with the team focusing on transparency and collaboration 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. 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. Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities. Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities. Contribute to innovation initiatives and overall analytics strategy under the wholesale data science and analytics head. Advocate and promote the use of data science to drive fact-based activity and behavior in wholesale banking globally. Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback Work with and leverage solutions and approaches developed by the wider HSBC Analytics community. 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. Requirements

Requirements

Decision-making to plan and implement the change Prior Experience in Data Science Leadership role.  Governance support to ensure change is communicated, adheres to best practices and evidence decision-making appropriately Active in the wider industry with strong contacts and connections in both academia and commerce; an industry ‘voice’ within the analytics space Data analytics tools such as Python, Spark, and HadoopTrack record of developing successful Analytics functions delivering actionable insights Track-record of developing and implementing strategy for growing evolving a new capability Track-record of managing deliveries of data heavy programmes of work. Track-record of leading Agile multi-disciplined teams to deliver exceptional customer service and value Track-record of delivering analytics within Financial Institutions Experience in delivering in a highly regulated environment Knowledge of MLOps and ML engineering pipelines preferable University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD or Master degree is highly preferred. 10+ years of relevant experience, preferably in banking and financial sector In depth knowledge and experience with machine learning techniques and algorithms. Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc. 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 Experience in commercial bank is a plus but not necessary. Attention to details, with good communication and presentation skills

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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