Infinite Capital is seeking a highly motivated and skilled Quantitative Trader (preferred) or Analyst to join our team. As part of this role, you will analyze market trends, develop trading strategies, and execute trades. This is a great opportunity for an individual who is passionate about finance and technology and is looking to join a dynamic team in the fast-paced digital assets industry. Specific responsibilities could range from leveraging financial data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas, formulating them into systematic strategies, and critically evaluating their performance.
Major Responsibilities
The following are the key responsibilities of this role:
- Conduct quantitative research to identify and develop trading strategies: You will conduct in-depth quantitative research to identify and develop trading strategies. This includes analyzing data and identifying trends to build models and algorithms.
- Analyze market trends and provide insights to the team: This includes monitoring news and events that may impact the cryptocurrency market and providing regular updates to the team.
- Build and maintain trading models and algorithms: Quant Traders will need to know how to build and maintain trading models and algorithms. This includes writing code in programming languages such as Python, R, or MATLAB. Quant Analysts do not need this experience.
- Execute trades while managing risk and monitoring portfolio performance: This includes ensuring that trades are executed in a timely and efficient manner, and that risk is managed effectively.
- Collaborate with other team members to optimize trading strategies and improve overall performance: This includes working closely with other traders, analysts, and developers to identify opportunities for improvement and implement changes.
Skills and Preferred Traits
The following are the required skills and preferred traits for this role:
- Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, or Computer Science: You ideally were at the top of your class and have an understanding that learning doesn't stop once you graduate. You are excited to pick up new tricks and to push yourself both academically and professionaly.
- Strong knowledge of financial markets and trading practices: This includes understanding the fundamentals of trading, technical analysis, and risk management.
- Proficiency in programming languages such as Python, R, or MATLAB: Quant Trader applicants MUST have proficiency in programming languages such as Python, R, or MATLAB. This includes experience in writing code to build models and algorithms.
- Experience with data analysis and visualization tools such as Excel, Tableau, or Power BI: This includes experience in analyzing data and presenting insights in a clear and concise manner.
- Excellent problem-solving and critical thinking skills: This includes the ability to analyze complex problems and develop innovative solutions.
- Strong attention to detail and accuracy: This includes ensuring that all trades are executed correctly and that risk is managed effectively.
- Ability to work independently as well as collaboratively in a team environment: This includes working closely with other team members to achieve common goals.
- Strong communication and interpersonal skills: You should have the ability to communicate complex ideas in a clear and concise manner, and the ability to work effectively with others.
Cryptocurrency experience is not required as long as you are excited to jump in and learn! Candidates with experience in the financial industry or related fields will be given preference. This is an exciting opportunity for an ambitious and talented individual who is looking to join a dynamic team in the fast-paced cryptocurrency industry. If you have a passion for finance and technology and possess the required skills and traits, we encourage you to apply!
While this is a fully remote position, please note that we do ask that candidates only apply if they reside between these time zones as it ensures that we have sufficient overlapping working hours between the team:
UTC−08:00 (Pacific Time Zone) to UTC+0 (Western European Time Zone)