Position Overview: We are seeking a highly skilled and quantitative-oriented Algorithmic Trader to join our trading team. As an Algorithmic Trader, you will play a critical role in developing, implementing, and optimizing algorithmic trading strategies across various financial markets. This role requires expertise in quantitative analysis, programming, and market dynamics to capitalize on trading opportunities and optimize trading performance.
Roles And Responsibilities
Strategy Development:
Design and develop algorithmic trading strategies based on quantitative models, statistical analysis, and market data.
Optimize algorithms for execution speed, efficiency, and profitability in various market conditions.
Backtesting and Simulation:
Conduct rigorous backtesting and simulation of trading strategies to evaluate performance and refine algorithms.
Analyze historical data and market trends to validate assumptions and optimize strategy parameters.
Execution and Monitoring:
Implement algorithms for automated trading across electronic trading platforms and exchanges.
Monitor real-time market conditions and algorithm performance to make adjustments and improvements as necessary.
Risk Management:
Develop risk management protocols and controls to mitigate potential trading risks.
Monitor and analyze portfolio risk metrics, including VaR (Value at Risk), to ensure adherence to risk limits and regulatory requirements.
Research and Market Analysis:
Stay informed about market developments, news, and regulatory changes that impact trading strategies.
Conduct quantitative research and statistical analysis to identify new trading opportunities and refine existing strategies.
Skills Required
Quantitative Skills: Strong proficiency in mathematics, statistics, and quantitative analysis methods.
Programming: Expertise in programming languages such as Python, Java, C++, or similar, with experience in algorithm development and optimization.
Financial Markets Knowledge: Deep understanding of financial instruments, market microstructure, and trading strategies.
Algorithmic Trading Tools: Familiarity with algorithmic trading platforms, market data feeds, and execution management systems (EMS).
Risk Management: Ability to assess and manage trading risks, including familiarity with risk metrics and hedging strategies.
Problem-Solving: Analytical mindset with the ability to troubleshoot issues and optimize trading algorithms.
Compensation
Compensation for an Algorithmic Trader typically includes a competitive base salary, performance-based bonuses tied to trading profitability, and benefits such as health insurance, retirement plans, and professional development opportunities.
Additional perks may include access to proprietary trading tools, advanced technology resources, and participation in industry conferences.
Seniority level
Entry level
Employment type
Full-time
Job function
Finance and Sales
Industries
Financial Services
Referrals increase your chances of interviewing at Augment Jobs by 2x