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