Data Scientist (PhD/MPhill graduates are welcome)

ioTech Solutions; Singapore; On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to join their data service group. This role involves identifying and analyzing new datasets, collaborating with vendors, and developing technology tools for data management. The ideal candidate will possess a Ph.D. or MPhill in a quantitative field and have experience in statistical analysis and programming. This position offers an exciting opportunity to contribute to innovative financial strategies within a dynamic environment. If you are passionate about data and eager to make an impact, we encourage you to apply!

Qualifications

• Ph.D. or MPhill in a quantitative field required.
• 1+ years of experience as a Data Scientist or similar role.

Responsibilities

• Identify and analyze new datasets for potential applications.
• Collaborate with vendors and enhance data collection processes.

Skills

Statistical Analysis

Problem-Solving

Communication Skills

Programming in Python

SQL

Data Analysis

Intellectual Curiosity

Education

Ph.D. in Computer Science

MPhill in Mathematics

Tools

SQL Server

TSQL

Python

C#

C++

Java

Job description

Data Scientist (PhD/MPhill graduates are welcome)

Job Description:

My client is a centralised systematic hedge fund that adopts computer-driven trading strategies to invest across multiple liquid asset classes. They are hiring a Data Scientist for their data service group.

Responsibilities:

1. Identify new datasets for analysis.
2. Collaborate with vendors to understand dataset characteristics.
3. Develop processes and technology tools to ingest, tag, and clean datasets.
4. Analyze datasets to generate descriptive statistics and suggest potential applications.
5. Research potential "alpha signals" for presentation to Portfolio Managers.
6. Monitor and enhance the automated data collection and cleansing infrastructure.
7. Explore new technologies for improved data management and efficient retrieval.

Qualifications:

1. Ph.D. or MPhill in computer science, mathematics, physics, statistics, or another field involving rigorous quantitative analysis techniques.
2. At least 1 year of experience as a Data Scientist, quantitative researcher, or in a similar role.
3. Experience working with large datasets, including classification, regression, distribution analysis, and predictive modeling.
4. Proficiency in applying statistical tests to large datasets.
5. Programming skills in SQL, TSQL, SQL Server, or PL-SQL.
6. Proficiency in Python and at least one of C#, C++, or Java.
7. Financial industry experience is preferred but not required.
8. Familiarity with intraday, tick, and order book data is a plus.
9. Strong problem-solving skills.
10. Intellectual curiosity and a passion for learning.
11. Attention to detail and a commitment to process.
12. Excellent oral and written communication skills.