Lead Vice Precident - Decision Sciences - Gac Wpb Pinnacle

Job descriptionSome 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 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 Lead Vice Precident - Decision Sciences - GAC WPB PINNACLE.Principal responsibilities:A Decision Sciences job family member should be able to:

• Converse both in technical and business language across the stakeholder matrix.
• Design, architect and manage analytics processes and infrastructure and define initiatives with senior management; Interface with the business to increase awareness on how to leverage advanced analytics tools and techniques by business communities.
• Contribute to the establishment of consistent, best-in-class Analytics capability supporting the WPB ASP HSBC Insurance business but also simultaneously joining up with the rest of the HSBC Group.
• Architect end-to-end analytics solutions from collaborating with IT on proper data infrastructure, to assemble and perform data science techniques, to integrate such solution into the overall technology environment for production in a highly digital environment.
• Manage a direct team of data scientists & engineers, pioneer innovation by proactively linking new data & analytics trend to business need, and proactively drive in-house data science capability specifically in areas of sophisticated machine learning, deep learning and AI, provide thought leadership and delivery management on daily basis.
• Enforce and monitor standards for the application of analytics across the businesses.
• Scope and define analytics need from stakeholders, deliver towards a data and analytics agenda on annual and ongoing basis and mobilize resources in the CoE to carry out such plans.
• Enable and execute sales performance productivity analytics.
• External data collaboration and commercialization.
• Lead the Decision Sciences practice with high quality analytical solutions for the business stakeholders across one of more regions; Mature advanced analytics capabilities that further enable the personalisation and increased relevance of customer experiences, across all channel touch points.
• Establish and maintain a global best practice sharing environment for all aspects of new advanced analytics capabilities, new data sources as well as relevant fintech capabilities.
• Supports innovative analytical thinking & solutions that results into improved business performance.
• Embrace market / industry best practices and bring-in best-in-class and relevant solutions for better business decisions.
• The role holder shall also be expected to guide and lead team members from a functional perspective and help them build up a strong business understanding.

Requirements

• 12+ years of experience of using statistical concepts & machine learning models to solve complex business problems.
• At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study.
• Proven experience in building and leading a modelling and analytics function in a large scale organization.
• Prior experience in building models and quantitative solutions.
• Collaborate with leaders to drive usage of analytics services by various business communities.
• Develop and enhance the capability and expertise of the team by providing the effective coaching and on-job training.
• Build a culture committed to the delivery of outstanding customer service and open, transparent, honest team environment.
• Effectively engage in a matrix structure to drive transformation goals for the organization.
• Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas.
• Execute for results and build diverse teams.
• Master or PhD in relevant quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.
• Experienced in leveraging business analytics and machine learning algorithm to drive business growth, identify product proposition or enhance retail banking customer journey, etc.
• Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics.
• Strong retail banking and/or life insurance products or wealth management business knowledge and knowledge of profitability model.
• Experience in working with cloud-based data ecosystems (e.g. data lake, AWS, GCP, etc.). Scripting language capabilities in Python, R, SAS, Java or Scala.
• Able to translate complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.You’ll achieve more when you join HSBC.HSBC is 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. 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.