Data Scientist - Mox Data Scientist - Mox …

Festanstellung, Vollzeit
Letzte Bewerbung, 28 Nov 21
Festanstellung, Vollzeit
Letzte Bewerbung, 28 Nov 21
Standard Chartered Bank
Data Scientist - Mox
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.

As one of the biggest banks in market, we are rapidly expanding by growing a new virtual banking business in Hong Kong. We see ourselves as a fast growing start-up company where you will enjoy autonomy and teamwork at the same time, solving new and exciting problems in a nimble and agile way. Join us and be part of history making for future banking experience!

The Role Responsibilities
We are looking for a curious and adaptable Data Scientist to complement our Growth team. Your mission is to enable the company to make fast decisions of which you have helped to uncover. Your role is to guide us at Mox as we go through our different stages of growth. You will have a chance to interact across the whole company and contribute to the building of a robust data-led decision-making culture. The Growth team is responsible for discerning signals from noise in order to optimise clear metrics that we use to track our performances on acquisition, activation, retention, referral, and revenue. You will be able to:
  • To work cross-functionally with design and research, engineering, finance, marketing, operations, and Product Management
  • Establish and refine our behavioural segmentation models
  • Tell a compelling data story about how our customers behave within our ecosystem and advise business what possible paths to take
  • Advice on how we may increase our data quality and accuracy of our data sources
  • Run and lead data-led experiments to continually refine our customer-led value proposition.

Our Ideal Candidate
  • Degree holder in Statistics, Mathematics, Computer Science, or an equivalent field
  • Experience on using business intelligence tools (e.g. Tableau, Data Studio, PowerBI, Looker, or equivalent) to visualise and explore data
  • Like manipulating data sets and building statistical models
  • Have experience working with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and understand their real-world advantages/drawbacks
  • Used both Python and SQL to manipulate data and draw insights from large data sets
  • Have a passion for discovering solutions hidden in large data sets and working side-by-side with stakeholders to improve business outcomes
  • Possess excellent written and facilitation skills for articulating your main points on a given topic
  • Enjoy working in an Agile environment and have used tools that help organisations to do that well (e.g. Atlassian Suite, Slack, etc.)
  • Applied solutions based on behavioural psychology
  • Worked with Apache Kafka and microservices before
  • Worked with AWS S3, AWS Glue, AWS Athena, and Jupyter stack before.

Apply now to join the Bank for those with big career ambitions.

To view information on Mox, please visit
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