Research Analyst - Quantitative Strategies

EXODUSPOINT CAPITAL MANAGEMENT SINGAPORE, PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A global investment management firm in Singapore is seeking a Quantitative Strategies Research Analyst to work closely with portfolio managers on research projects focusing on data-driven quantitative strategies. The role involves innovative solutions for trading and risk management, along with responsibilities in data parsing and processing. Candidates should have a strong degree in a quantitative field, good communication skills, and proficiency in Python and relational databases. Prior finance experience is a plus.

Qualifications

• Degree from leading university in a quantitative or technical field.
• Good communication skills to collaborate both within and across teams.
• Knowledge of linear algebra and statistics.
• Prior experience in finance a plus.
• Proficient in at least one language (e.g. Python) and relational database.

Responsibilities

• Collaborate with other technology teams to formulate innovative solutions for trading and risk management.
• Responsible for data parsing, cleaning and processing research jobs.

Skills

Communication skills

Knowledge of linear algebra

Knowledge of statistics

Proficiency in Python

Relational database skills

Education

Degree in quantitative or technical field

Job description

ExodusPoint Capital, founded in 2017 by Michael Gelband and Hyung Lee, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands‑on experience running multi‑manager businesses to create an institutional investment management firm

We are looking for a Quantitative Strategies Research Analyst to join our team in Singapore. This person will work closely with portfolio managers on research projects with a focus on data-driven quantitative strategies.

Responsibilities

• Collaborate with other technology teams to formulate innovative solutions for trading and risk management
• Responsible for data parsing, cleaning and processing research jobs

Qualifications

• Degree from leading university in a quantitative or technical field
• Good communication skills to collaborate both within and across teams
• Knowledge of linear algebra and statistics
• Prior experience in finance a plus
• Proficient in at least one language (e.g. Python) and relational database