High-Frequency Trading Engineer

Vintti is a staffing agency that acts as an economic enabler. By connecting US-based SMBs, startups, and firms with top-tier Latin American talent, we drive growth on both sides of the equation. For US businesses, we offer access to a pool of highly skilled professionals at competitive rates, allowing for increased efficiency and scalability. For Latin American workers, we provide opportunities to engage with the US market, fostering professional development and economic advancement. Vintti stands at the intersection of global talent and American enterprise, facilitating partnerships that stimulate economic prosperity across borders.

A High-Frequency Trading Engineer is a specialist who designs, develops, and maintains the software and hardware systems used in high-frequency trading environments. These engineers work on optimizing trading algorithms, ensuring low-latency performance, and implementing robust risk management and data analysis solutions. They closely collaborate with quantitative analysts and traders to create sophisticated, efficient trading models that can execute a vast number of trades within microseconds. Proficiency in programming, financial markets, and real-time system architecture is essential for success in this fast-paced, highly competitive field.

- Bachelor's degree in Computer Science, Engineering, Finance, or a related field
- At least 3-5 years of experience in high-frequency trading or a similar role
- Proficiency in programming languages such as C++, Python, or Java
- Strong understanding of low-latency system design and optimization
- Experience with real-time data processing and trading systems
- Familiarity with various financial assets and instruments
- Solid experience in backtesting trading strategies and conducting quantitative analysis
- Strong knowledge of network protocols and performance tuning
- Excellent problem-solving and analytical skills
- Knowledge of risk management frameworks and principles
- Understanding of financial markets, trading dynamics, and market microstructure
- Familiarity with regulatory requirements and compliance in financial trading
- Experience with hardware and software upgrades and maintenance for trading systems
- Proficiency in Unix/Linux environments
- Strong collaboration and communication skills for working with cross-functional teams
- Proven track record of writing clean, efficient, and well-documented code
- Capability to work in a high-pressure, fast-paced environment
- Experience with continuous integration and deployment tools
- Familiarity with version control systems such as Git
- Experience with monitoring tools and creating dashboards for real-time data analysis

- Develop and optimize high-frequency trading algorithms and strategies.
- Monitor real-time trading signals and market data feeds for quick decision-making.
- Implement low-latency trading systems to enhance execution speed and reliability.
- Conduct rigorous backtesting and analysis of trading strategies.
- Analyze market trends, financial reports, and other relevant data for trading opportunities.
- Collaborate with quantitative analysts to improve trading models.
- Troubleshoot and resolve issues with trading systems and algorithms.
- Perform latency analysis and identify performance enhancement opportunities.
- Review and adjust risk management parameters on trading systems.
- Stay informed on the latest financial regulations to ensure compliance.
- Coordinate with IT and network teams for optimal infrastructure performance.
- Maintain and upgrade trading-related hardware and software.
- Write and maintain detailed documentation for trading processes and systems.
- Participate in code reviews to ensure high standards of code quality and performance.
- Create and maintain monitoring tools and dashboards for trading activities.

The ideal candidate for the High-Frequency Trading Engineer role possesses a Bachelor's degree in Computer Science, Engineering, Finance, or a related field, coupled with at least 3-5 years of experience in the high-frequency trading landscape. They exhibit proficiency in programming languages such as C++, Python, or Java, and demonstrate a deep understanding of low-latency system design and optimization. Their expertise extends to real-time data processing and trading systems, with a solid grasp of various financial assets and instruments. They have a proven ability in backtesting trading strategies and conducting quantitative analysis, supported by strong knowledge of network protocols and performance tuning. The perfect candidate is highly analytical, demonstrating exceptional problem-solving skills and attention to detail. They have a thorough understanding of risk management frameworks, financial markets, trading dynamics, and market microstructure, along with familiarity with regulatory requirements and compliance in financial trading. Adept in Unix/Linux environments, they possess robust collaboration and communication skills, necessary for thriving in cross-functional teams. Their track record showcases clean, efficient, and well-documented code, alongside experience with continuous integration and deployment tools, and version control systems like Git. They bring a blend of self-motivation, independence, and the ability to excel under pressure in a fast-paced setting, coupled with a strong commitment to continuous learning and industry trend awareness. Exemplifying high ethical standards, they are detail-oriented, capable of managing multiple tasks and deadlines, and thrive as exceptional team players. Their innovative approach to technology and trading, when combined with their resilience and ability to adapt to rapidly changing market conditions, makes them a standout candidate. They possess strong organizational skills, prioritizing effectively, and consistently demonstrate initiative, proactive problem-solving, and the ability to take and manage calculated risks prudently while maintaining a persistent and patient approach to complex troubleshooting and debugging.

- Develop and optimize high-frequency trading algorithms and strategies.
- Monitor real-time trading signals and market data feeds.
- Implement low-latency trading systems to improve execution speed and reliability.
- Conduct rigorous backtesting and analysis of trading strategies.
- Analyze market trends, financial reports, and other data for potential trading opportunities.
- Collaborate with quantitative analysts to refine trading models.
- Troubleshoot and resolve any issues related to trading systems and algorithms.
- Perform latency analysis and identify areas for performance enhancements.
- Review and adjust risk management parameters on trading systems.
- Stay updated with the latest financial regulations and ensure compliance.
- Coordinate with IT and network teams to ensure optimal infrastructure performance.
- Maintain and upgrade trading-related hardware and software.
- Write and maintain detailed documentation for all trading processes and systems.
- Participate in code reviews to ensure high standards of code quality and performance.
- Create and maintain monitoring tools and dashboards for trading activities.

- Highly analytical with a strong aptitude for problem-solving
- Detail-oriented with exceptional attention to accuracy
- Self-motivated and able to work independently
- Ability to thrive in a high-stakes, fast-paced environment
- Strong desire for continuous learning and staying updated on industry trends
- Exceptional team player with excellent collaboration skills
- Strong communicative abilities, both written and verbal
- Innovative thinker with a passion for technology and trading
- Reliable and able to manage multiple tasks and deadlines effectively
- Resilient, able to adapt to rapidly changing market conditions
- High ethical standards and a commitment to compliance and risk management
- Strong organizational skills with the ability to prioritize effectively
- Goal-oriented with a focus on achieving measurable results
- Demonstrates initiative and proactive problem-solving abilities
- Comfortable with taking calculated risks while maintaining a prudent approach
- Persistent and patient when troubleshooting and debugging complex systems

- Competitive salary range based on qualifications and experience
- Performance-based bonuses and incentives
- Comprehensive health, dental, and vision insurance plans
- Health and wellness programs, including gym memberships and wellness reimbursements
- Generous paid time off (PTO) and holiday schedule
- 401(k) retirement plan with company matching contributions
- Professional development and training opportunities
- Tuition reimbursement for relevant educational pursuits
- Flexible work hours and remote work options
- Paid parental leave for new parents
- Employee assistance program for mental health and counseling services
- Life and disability insurance coverage
- On-site amenities such as healthy snacks, meals, and beverages
- Transit and commuter benefits
- Team-building events and company-sponsored activities
- Employee recognition and rewards programs
- Access to cutting-edge technology and trading tools
- Opportunity to work in a dynamic and innovative environment
- Collaborative and supportive company culture
- Potential for career advancement and leadership roles within the organization