Your new role

In your new role, you will be expected to collaborate with stakeholders within the organisation effectively. Your main responsibilities will also be to evaluate and propose new data sourcing and gathering methods. Customised data modelling and algorithms and applying them to the various data sets will also be one of your expected duties. You should also be able to develop the tools and processes in order to provide analysis of the data model's precision and implementation.

What you'll need to succeed

A similar position within the technological spaces will lead to your success as well as:

Required

• 5 - 7 years of experience within the data science space: data modelling, manipulation of data sets etc.
• Have a Master's or PhD in Computer Science, Statistics or any related quantitative discipline
• Hands-on experience with statistical computer languages such as R, Python, SQL etc.
• Ability to work with analytical data assets and creating them as well
• Experience with applying a range of machine learning techniques
• Comprehension of statistical concepts and methodologies and exposure to applications

Others (Preferred)

• Data driven and passionate about new technology
• Excellent communication skills for cross functional teams

Benefits

• The opportunity to work within a holistic and supportive culture
• Career growth potential in a key player within the regional banking ecosystem
• Diverse and dynamic work culture

APPLY NOW by clicking the button below. Submit your profile or contact Melissa Butt at m.buttjiaqi (at) huxley.com.

Only shortlisted candidates will be notified.

Data provided is for recruitment purposes only.

Huxley, a trading division of SThree Pte Limited (Registration Number: 200720126E | SThree Pte Limited Licence Number 16S8216 | Huxley Licence Number 53132076J)

Award winner of:

International Recruitment Company of the Year by Recruitment International 2016

Best Client Services by Asia Recruitment Awards 2017

Best Overseas Operation by Global Recruiters 2017

Highly Commended for Best Large Recruitment Business 2017