Quant Bot Developer
at Team Finder
Home Based, KwaZulu-Natal, South Africa -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Feb, 2025 | Not Specified | 10 Nov, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
WHAT YOU NEED TO HAVE:
- Relevant Qualification
- Experience: 5+ years in quantitative trading, algorithmic development, or a similar role in financial markets.
- Strong in Python, C++, or Rust; experience with trading APIs (CCXT, WebSocket, RESTful APIs); and familiarity with low-latency systems.
- Deep understanding of statistical analysis, machine learning models, and back testing frameworks.
- Knowledge of DeFi, smart contracts, and an understanding of crypto market dynamics.
- Analytical mindset with a knack for optimizing complex algorithms and a passion for continuous learning
How To Apply:
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Responsibilities:
ABOUT THE ROLE:
Our client is a trailblazing cryptocurrency firm pushing the boundaries of algorithmic trading in the digital asset space. The team thrives on innovation, leveraging cutting-edge tech to design and implement high-frequency trading strategies that dominate the crypto markets. If you’re a Quant Bot Developer with a passion for building market-shaping algorithms, let’s chat!
As a Quant Bot Developer, you’ll be at the heart of trading operations, developing sophisticated bots that execute trades in real-time across various crypto exchanges. You’ll use your expertise in data analysis, financial modeling, and algorithm optimization to drive performance and profitability.
WHAT YOU WILL DO:
- Develop low-latency trading algorithms and execute high-frequency strategies in global crypto markets.
- Use statistical analysis, machine learning, and quantitative techniques to identify trading opportunities.
- Rigorously backtest strategies using historical data to refine and deploy successful models in live trading environments.
- Connect trading bots to multiple exchanges (e.g., Binance, Coinbase, Kraken) and continuously optimize performance.
- Implement robust risk management and capital allocation strategies to protect against market volatility.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Marketing / Advertising / MR / PR
Software Engineering
Graduate
Proficient
1
Home Based, South Africa