Entry-Level Quantitative Researcher

Point72; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading financial services firm in Singapore is looking for an Entry-Level Quantitative Researcher to engage in rigorous quantitative research focusing on predictive models. The role involves managing all aspects of the research process, conducting original research, and collaborating within a team. Applicants should hold a degree in a quantitative field and have strong analytical skills. This is a full-time position with significant training and development opportunities.

Qualifications

• Programming in Python or a comparable language.
• Strong analytical and quantitative skills.
• Detail-oriented with high-quality result delivery.

Responsibilities

• Conduct original quantitative alpha signal research.
• Analyze the latest academic research.
• Manage research process including data analysis and hypothesis testing.
• Build analytical tools for shared research framework.

Skills

Quantitative research

Python programming

SQL

Analytical skills

Education

B.S., M.S., or PhD in quantitative discipline

Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

Responsibilities

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework

Requirements

• B.S., M.S., or PhD in finance, economics, mathematics, statistics, data science, computer science, or another quantitative discipline
• Programming in Python (or a comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills
• Willingness to take ownership of work
• Ability to work both independently and collaboratively within a team
• Strong desire to deliver high-quality results in a timely fashion
• Detail-oriented
• Prior experience in the financial services industry is not required
• A commitment to the highest ethical standards

Seniority Level

• Entry level

Employment Type

• Full-time

Job Function

• Finance and Sales