Data Scientist, Data Strategy London
Standard Chartered
Bangalore, India
2d ago

About Standard Chartered

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours -

do the right thing, better together and never settle - as well as our brand promise, Here for good.

We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation.

This in turn helps us to provide better support to our broad client base.

Function Overview :

  • The Data Strategy team is part of Enterprise Risk Analytics with focus on Risk, Compliance and Finance (RCF) functions.
  • One of teams’ key objective is to provide leadership and coordination in Data Science and Advanced Analytics initiatives across RCF Job Description : The job focus will be to drive cross functional advanced analytics projects :
  • Work with partner teams to create and build next generation data products and analytics solutions
  • Research, design, implement and validate cutting-edge analytics and data visualization techniques to demonstrate targeted outcomes.
  • Use machine learning to optimize our ability to address problems in RCF functions
  • Work with CDO, CIO Functions and Modellers to run proofs of concept (PoC) in specific areas
  • Provide expertise in migrating PoC projects to productionise (where found appropriate)
  • Contributing / leading development of sandbox / prototype solutions coordinating with other areas of ERA as appropriate, demonstrate to users and gather feedback
  • Assessing problem statements & propose potential solutions by advocating and enabling data-driven analytics Perform Bespoke Tactical Risk Analysis for Senior Management :
  • Respond to requests from senior management to develop tactical, bespoke analyses to address urgent risk management needs.
  • Coordinate with ERM teams such as Stress Testing, IFRS9 and Portfolio Risk to establish how existing results / analytics or processes can be leveraged to respond to requests.
  • Work with cross-functional teams to identify and prioritize actionable, high-impact analytics opportunities Required Skills :
  • Bachelor or master’s degree with technical degree preferred (statistics, mathematics, computer science, etc.)
  • Experience working with large datasets and the expertise in data wrangling
  • Experience in Machine Learning using supervised learning and unsupervised learning methodologies
  • Extensive programming experience using R, Python, SAS and / or MATLAB
  • Strong analytical mindset with excellent analytical, logical, reasoning and problem-solving skills.
  • Previous risk management experience and sound knowledge of financial statements is desirable
  • Excellent written and oral communication skills at all levels (i.e. colleagues to senior management) and situations (i.e. one-on-one to presentations)
  • Exposure to advanced machine learning methodologies is a plus
  • Exposure to Web Scraping, processing unstructured data (large text) is a plus
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