Quantitative Analyst - Global Funding
At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading.
Job Description
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!
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!
