Job description

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 Manager – Decision Sciences

Principal Responsibilities: 

  • Decision Sciences job family is structured to address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc. Members of this Job Family are differentiated by their capability of converting a business problem into a quantitative construct, solve it with available statistical / mathematical methods (following the right rigour), engage with IT to implement and finally interpret the model outcomes in business language. The range of business problems may cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach, justify the choice of appropriate methods to various internal and external reviewers. This talent group is expected to keep themselves apprised of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes. A decision sciences job family member should be able to:
  • Apply relevant analytical methods / algorithms to get actionable insights from HSBC's internal (both structured and unstructured) and external data sources.
  • Partner with IT / Data Engineering teams to create deployment road-map
  • Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies.
  • Independently manage delivery of analytics projects by working with business partners across regions / geographies
  • Work in an agile model in a cross functional set-up 

Requirements
  • Proven expertise on SAS/ Python/ PCSM programing is a MUST.
  • Minimum 3+ years of successful track record of leading technology (functional) projects with aggressive timelines across the organization
  •  Experience on Vendor Decision or Analytics product(s) is preferred. E.g. SAS Enterprise Guide, SAS Intelligent Decision /RTDM, Experian SMg3 / Powercurve, FICO TRIAD, Blaze Advisor, Pega, Provenir etc.
  •  Investigative and consultancy mind with penchant for the latest technologies and continuous learn and adapt capability.
  •  Strong communication, stakeholder management, presentation and interpersonal skills.
  •  Strong problem solving skills, adaptability to change and changing work priorities and ability to drive results.
  •  Ability to work under pressure and achieve agreed deadlines; work on multiple items concurrently where required. Ability to operate well across cultures and in multi-cultural diverse work environments.
  •  Knowledge of Risk Underwriting processes or exposure to process design, re-engineering and managing change. Exposure to Banking Analytics or equivalent experience in Business, Finance or related field will be good to have.
  • Bachelor’s/Master’s degree in any of the discipline like Computer Science, IT ,Operations Research, Economics , Mathematics from a reputed university or MCA from a reputed university.

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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