Quantitative Trader

**Responsibilities**:

- **Develop and Implement Trading Strategies**: Design, develop, and implement quantitative trading strategies using statistical models and financial data. Continuously test, optimize, and improve strategies to enhance profitability and risk management.
- **Trading Execution**: Execute trades and developing trading automation in crypto assets’ liquid market while ensuring optimal execution and mínimal market impact. Use algorithmic trading methods when applicable.
- **Risk Management**: Monitor, manage, and mitigate risks associated with trading strategies. Work with risk teams to ensure that risk parameters are adhered to and that appropriate hedging strategies are in place.
- **Performance Evaluation**: Continuously monitor and assess the performance of trading strategies. Use data analytics and statistical tools to assess and improve performance metrics such as Sharpe ratio, drawdowns, and P&L.
- **Research and Development**: Conduct independent research to discover new trading opportunities and create robust mathematical models. Leverage machine learning, AI, and big data technologies for deeper insights and competitive edge.
- **Collaboration**: Work closely with developers, data scientists, and other traders to improve system performance, develop new tools, and ensure a streamlined trading process.
- **Market Infrastructure**: Stay up-to-date with changes in market regulations, infrastructure, and technology. Adapt trading systems and strategies to comply with evolving market environments.

**Requirements**:

- **Educational Background**: Bachelor's or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related fields.
- **Experience**: 1-3 years of experience in quantitative trading, algorithmic trading, or a related role. Fresh graduates with relevant internship experience and strong quantitative skills may also be considered.
- **Programming Skills**: Proficiency in programming languages such as Python, C++, R, or Java, and familiarity with data analysis tools. Knowledge of algorithmic trading platforms (e.g., QuantConnect, NinjaTrader) is a plus.
- **Strong Analytical Skills**: Solid foundation in mathematical and statistical analysis, as well as experience with data modelling, regression analysis, and machine learning techniques.
- **Financial Markets Knowledge**: Understanding of financial markets, asset classes, and trading mechanisms. Familiarity with cryptocurrency, derivatives and high-frequency trading is preferred.
- **Risk Management**: Strong understanding of risk management principles and the ability to manage risk/reward trade-offs in real-time market conditions.
- **Attention to Detail**: Ability to work under pressure in a fast-paced environment while maintaining a high level of accuracy and attention to detail.
- **Communication Skills**: Strong verbal and written communication skills to effectively present ideas and collaborate with team members.

**Preferred Qualifications**:

- Experience with algorithmic trading or high-frequency trading (HFT) in equity, futures, or FX markets.
- Familiarity with low-latency trading systems and optimization techniques.
- Knowledge of market microstructure and electronic trading platforms.
- CFA, FRM, or other relevant certifications.

Pay: $5,000.00 - $7,000.00 per month

**Benefits**:

- Food allowance
- Health insurance

Supplemental Pay:

- Performance bonus
- Yearly bonus

**Education**:

- Bachelor's or equivalent (required)

**Experience**:

- quantitative trading, algorithmic trading, or a related: 1 year (required)

Work Location: In person