Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to build cutting-edge research data platforms and enhance investment processes.
- Company: C2R Ventures is a global Quant Trading firm managing over $170 billion in assets.
- Benefits: Enjoy a full-time role with opportunities for mentorship and collaboration in a tech-driven environment.
- Why this job: Be part of high-impact projects that drive real change in the finance world while working with innovative technologies.
- Qualifications: A degree in computer science, strong Python skills, and a passion for problem-solving are essential.
- Other info: Experience with distributed computing and an interest in financial markets are a plus!
The predicted salary is between 72000 - 108000 ÂŁ per year.
Direct message the job poster from C2R Ventures
Our client, a global Quant Trading shop with more than 170bb in managed assets, and under 300 employees, is seeking a talented Quant Developer join the firms Research group. The development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and Productionization of investment ideas.
You will be tasked with building out a next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.
This is a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions.
Responsibilities include, but are not limited to:
- Writing and maintaining Python libraries that supports the investment research production processes
- Designing and creating software to enhance our data science technology stack
- Design and implement financial data APIs and numerical APIs
- Apply cloud and distributed computing technologies
- Implementing performance improvements in our data analysis and numerical programming code
- Running POCs to evaluate new technologies and libraries in the PyData ecosystem
- Working with software engineers to design feeds for new data sources from third-party vendors
- Propose and lead implementations of major components or features in our data science platform
- Mentor, train and provide technical guidance to junior team members in design and coding standards
- An undergraduate or graduate degree from an educational institution in computer science
- Strong analytical and problem-solving skills
- Expert programming skills in Python, experience implementing production-grade Python code
- Experience in OOP paradigms, data structures, and numerical algorithms
- Distributed computing: Spark, Dask, or HPC
- Understanding/interest in probability and statistics, including linear regression and time-series analysis
- Curiosity and a willingness to learn new technologies
- Interest in financial markets (prior experience not required)
Valuable, and nice to have:
- Hadoop, Spark, Kafka, and related technologies
- Unix/Linux system tools and environment
- Basic familiarity with unit testing, continuous integration, DevOps, containerization
- Interactive data visualization and dashboards
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering, Finance, and Information Technology
-
Industries
Software Development and Financial Services
Referrals increase your chances of interviewing at C2R Ventures by 2x
Sign in to set job alerts for “Quantitative Developer” roles.
Quant Developer (Python/C++) | New Team Build at Elite Hedge Fund | Boston
Boston, MA $250,000.00-$500,000.00 3 days ago
Greater Boston $400,000.00-$700,000.00 2 weeks ago
Quantitative Researcher, Private Equity Co-Investments (Boston, London or Dublin)
Boston, MA $104,000.00-$140,000.00 3 weeks ago
Amazon Robotics – Data Scientist (New Grad), Amazon Robotics, Software Research and Science
Boston, MA $150,000.00-$170,000.00 1 month ago
Quantitative Investment Researcher (Assistant Vice President)
Newton, MA $126,000.00-$175,000.00 2 weeks ago
Boston, MA $119,000.00-$169,000.00 1 month ago
Director, Quant Development – Optimization (Matlab Linear, SciPy, Gurobi, Axioma, Cplex)
Boston, MA $103,000.00-$218,000.00 1 day ago
Boston, MA $170,000.00-$218,000.00 1 month ago
Boston, MA $85,000.00-$120,000.00 5 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Quantitative Developer employer: C2R Ventures
Contact Detail:
C2R Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and data science. Being able to discuss recent developments or technologies in your interview can demonstrate your passion and knowledge, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend relevant meetups or webinars, and connect with people on platforms like LinkedIn. This can help you gain insights into the industry and potentially get referrals for the position.
✨Tip Number 3
Brush up on your Python programming skills, especially in relation to libraries used in data science like Pandas, NumPy, and SciPy. Being able to showcase your coding abilities during technical interviews will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to algorithms and data structures. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and boost your confidence.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any experience with distributed computing technologies like Spark or Dask. Emphasise your analytical and problem-solving abilities, as well as any relevant projects that showcase your expertise.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies you are excited about, and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Experience: If you have experience with financial data APIs or numerical programming, be sure to include this in your application. Provide examples of how you've applied your skills in real-world scenarios, particularly in data analysis or software development.
Highlight Continuous Learning: Demonstrate your curiosity and willingness to learn new technologies. Mention any recent courses, certifications, or personal projects that relate to the role, especially those involving cloud computing or data visualisation.
How to prepare for a job interview at C2R Ventures
✨Showcase Your Python Expertise
As a Quantitative Developer, your programming skills in Python are crucial. Be prepared to discuss your experience with writing production-grade Python code and any libraries you've developed. Consider bringing examples of your work or discussing specific projects where you implemented complex algorithms.
✨Demonstrate Analytical Skills
The role requires strong analytical and problem-solving abilities. During the interview, be ready to tackle technical questions that assess your understanding of data structures, numerical algorithms, and statistical concepts. Practising common quantitative problems can help you articulate your thought process effectively.
✨Familiarise Yourself with Distributed Computing
Knowledge of distributed computing technologies like Spark or Dask is essential. Brush up on how these technologies work and be prepared to discuss any relevant experience you have. If you’ve run POCs or worked with cloud technologies, make sure to highlight those experiences.
✨Express Your Curiosity and Willingness to Learn
This team values curiosity and a desire to learn new technologies. Share examples of how you've pursued learning opportunities in the past, whether through self-study, courses, or projects. Showing enthusiasm for financial markets, even if you lack direct experience, can also set you apart.
