Quantitative Analyst - Global Funding

Posted Yesterday
Be an Early Applicant
Singapore
Hybrid
Junior
Artificial Intelligence • Fintech • Other • Automation
The Role
The Quantitative Analyst will develop and implement quantitative models for portfolio optimization, conduct research and analysis of financial data, design trading strategies, and collaborate with traders for insights. The role involves staying updated on advancements in quantitative finance and preparing reports to communicate findings.
Summary Generated by Built In

Hudson River Trading (HRT) is seeking a talented Quantitative Analyst to join our Global Funding team and work closely with our Portfolio Finance Traders. This position offers a unique opportunity to be exposed to the inner workings of a highly successful quantitative trading firm. We are looking for someone that enjoys taking on challenging problems and wants to make an immediate, tangible impact. 

The right candidate is an enthusiastic learner with a background in finance, securities finance, and/or automated trading. In this role, you can expect to be challenged by the ever-changing financial markets and find yourself solving interesting problems in an extremely fast-paced, real-time environment.

Responsibilities

  • Develop and implement quantitative models using statistical and mathematical techniques for portfolio optimization and risk management
  • Conduct in-depth research and analysis of financial data, identifying trends, patterns, and anomalies
  • Design and backtest trading strategies, optimizing for performance and risk
  • Develop and maintain risk management models, assessing and mitigating potential financial risks
  • Collaborate with traders, researchers, and other stakeholders to provide quantitative insights and support
  • Stay abreast of the latest advancements in quantitative finance, machine learning, and data science
  • Prepare reports and presentations to communicate complex quantitative findings to both technical and non-technical audiences

Qualifications

  • Bachelor’s degree in computer science, engineering, physics, math or a related technical discipline 
  • 2+ years of experience in developing and implementing quantitative models in a financial context
  • Strong understanding of financial markets, instruments, and risk management strategies
  • Proficiency in programming languages such as Python (with libraries like Pandas, NumPy)
  • Excellent problem-solving and critical thinking skills
  • Strong communication and interpersonal skills
  • You are comfortable working in a fast-paced, high pressure environment
  • CFA, FRM, or other relevant certifications are a plus
  • Experience with machine learning techniques a plus

Please note that this specific role is not currently eligible for visa sponsorship. For roles that are eligible for visa sponsorship, please continue to check our listings!

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Top Skills

Python
The Company
HQ: New York, NY
1,000 Employees
Hybrid Workplace
Year Founded: 2002

What We Do

Hudson River Trading brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

Why Work With Us

At HRT we are mathematicians, computer scientists, statisticians, physicists and engineers. We believe that by cultivating an environment that encourages idea sharing and collaboration, we develop our best strategies. We boast a flat management structure as all our people are motivated by being at the forefront of the automated trading world.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Hudson River Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Teams have a range of in-office needs: some require 24/7 coverage or hands-on maintenance, while others operate across time zones. While the majority of teams adopt a fairly even split between in-office and remote work, many come in every day.

Typical time on-site: Flexible
HQNew York, NY
Singapore
IE
Austin, TX
Boulder, CO
Chicago, IL
London, GB
Learn more

Similar Jobs

Hudson River Trading Logo Hudson River Trading

Middle Office Analyst - Options Market Making

Artificial Intelligence • Fintech • Other • Automation
Hybrid
Singapore, SGP
1000 Employees

Hudson River Trading Logo Hudson River Trading

Middle Office Analyst

Artificial Intelligence • Fintech • Other • Automation
Hybrid
Singapore, SGP
1000 Employees

Hudson River Trading Logo Hudson River Trading

Middle Office Analyst - Crypto

Artificial Intelligence • Fintech • Other • Automation
Hybrid
Singapore, SGP
1000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account