Job title: Data Scientist
Job type: Permanent
Emp type: Full-time
Industry: Financial Services
Salary type: Annual
Salary: Negotiable
Location: Singapore
Job published: 10/07/2019
Job ID: 32072
Contact name: Darren Hutchinson-Hill
Contact email:

Job Description

Data Scientist 


Leading Global Asset Management company are looking for a Data Scientist to join a dedicated team. The group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

Responsibilities include:

-​ Identification of new data sets

-​ Engaging with vendors to understand characteristics of datasets

-​ Building processes and technology tools to ingest, tag and clean datasets

-​ Analysis of datasets to generate descriptive statistics and propose potential applications of data

-​ Research of potential “alpha signals” for presentation to Portfolio Managers

-​ Monitoring and enhancing the automated data collection and cleansing infrastructure

-​ Research on new technologies for improved data management and efficient retrieval


-​ Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques

-​ At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role

-​ Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling

-​ Experience applying statistical tests to large data sets

-​ Programming skills in SQL, TSQL, SQL Server or PL-SQL

-​ Programming skills in Python and at least one of C#, C++, or Java

-​ Financial industry experience preferred but not required

-​ Experience dealing with intraday, tick and order book data a plus

-​ Strong problem solving skills

-​ Intellectual curiosity and a love of learning

-​ Attention to detail and a love of process

-​ Strong oral and written communication skills


Please send your updated CV to

EA licence number: 16S8180 


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