Join a team of world-class researchers and engineers to develop sophisticated trading systems and algorithms. Work on large-scale data pipelines and risk management engines. Collaborate with traders and researchers to drive investment decisions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
We are recruiting talented Python and Quantitative Developers for several world-renowned hedge funds and quantitative trading groups. These firms are known for their scientific approach to investing, combining advanced research, large-scale data, and sophisticated engineering to trade across global markets.
Whether your background is in tech, research, academia, or another quantitative field, these teams value sharp problem-solvers who can write clean, scalable code and work closely with researchers and traders.
Relocation and visa sponsorship are available for exceptional candidates.
What You’ll Be Building
You will be a key contributor to systems that drive the full investment lifecycle, such as:
- Research and backtesting frameworks used to test new trading ideas
- Large-scale data pipelines processing billions of data points across asset classes
- Production trading and execution systems used in global markets
- Risk, portfolio optimization, and analytics engines
- Tools that support quantitative research, simulation, and signal generation
You’ll work alongside world-class researchers and engineers in an environment that values experimentation and precision.
Core Requirements
- We're open to seeing anyone with 2-20 years of Python experience - what matters here is your technical ability and not the years under your belt.
- Strong Python skills (including clean architecture, performance considerations, and testing)
- Solid understanding of algorithms, data structures, and computational efficiency
- Experience with scientific or numerical computing (Pandas, NumPy, SciPy, JAX, etc.)
- Ability to design stable, maintainable systems
- Interest in markets, research, or solving quantitative problems
Great-to-Have (Not Mandatory)
- Exposure to statistical modeling, machine learning, or quantitative research
- Experience with large-scale data processing or distributed systems
- Familiarity with SQL/NoSQL databases
- Background in startups, trading, or large-scale data-intensive environments
Finance experience is optional — many successful team members come from AI labs, tech firms, academia, HPC, and data science backgrounds.
What You Gain
- Access to elite engineering and quantitative research teams
- Extremely competitive compensation (among the best globally)
- Opportunities across Asia, US, UK, and Europe
- Sponsorship and relocation support for top candidates
- A culture rooted in research, experimentation, and technical excellence
- Ability to work on systems that directly influence real-world trading outcomes
If you're a strong Python or Quant Developer looking to work on sophisticated research and trading systems at world-leading buyside firms, please reach out with your CV at dhiresh.buxani@bahpartners.com.
We connect highly skilled technologists with top hedge funds, trading firms, and financial institutions around the world. Let’s have a conversation.