Algorithm Developer – 2024 Grads
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
Please only apply to one job posting. We recommend you apply for the position/office you are most interested in. Upon review of your application, if your skill sets are better suited for another position, we will reach out and let you know. If you are interested in multiple offices, you will have the opportunity to indicate that below in the application questions.
This role is directed at graduates seeking a 2024 start date. For 2025 start dates please take a look at our internships.
Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce provably predictive trading models. You will run models live on our high-performance trading infrastructure and analyze their daily performance to maintain ongoing profitability. Working in close collaboration with fellow Algorithm Developers and Software Engineers, you will research, develop, and test novel order execution and model training methods to increase trading efficiency.
Qualifications
- You are a full-time undergraduate, masters, or PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2024
- Experience programming in Python and/or C++
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- A passion for applying quantitative models and technology toward solving real-world problems
- Brilliant analytical and problem-solving skills
- Ability to work creatively and independently on long-term technical problems
Profile
- You are capable of working independently as well as part of a team
- You can analyze and fix problems efficiently
- You learn quickly and apply new skills effectively
Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
Please only apply to one job posting. We recommend you apply for the position/office you are most interested in. Upon review of your application, if your skill sets are better suited for another position, we will reach out and let you know. If you are interested in multiple offices, you will have the opportunity to indicate that below in the application questions.
This role is directed at graduates seeking a 2024 start date. For 2025 start dates please take a look at our internships.
Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce provably predictive trading models. You will run models live on our high-performance trading infrastructure and analyze their daily performance to maintain ongoing profitability. Working in close collaboration with fellow Algorithm Developers and Software Engineers, you will research, develop, and test novel order execution and model training methods to increase trading efficiency.
Qualifications
- You are a full-time undergraduate, masters, or PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2024
- Experience programming in Python and/or C++
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- A passion for applying quantitative models and technology toward solving real-world problems
- Brilliant analytical and problem-solving skills
- Ability to work creatively and independently on long-term technical problems
Profile
- You are capable of working independently as well as part of a team
- You can analyze and fix problems efficiently
- You learn quickly and apply new skills effectively
Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.