Quantitative Trading Researcher [Multiple Positions Available]

DESCRIPTION:

Duties: Automate the electronic trading process from signal generation to auto-quoting and execution risk management, including order placement and execution, utilizing modern technology-driven trading platforms to prioritize speed, efficiency and reliability. Oversee the design, implementation, testing, and ongoing refinement of electronic trading algorithms for equity markets and futures, ensuring technical performance and adaptability to changing market conditions. Conduct comprehensive market analysis and analyze historical data to identify opportunities for system improvement, formulate effective trading strategies, and perform back testing and simulation to validate and optimize algorithm effectiveness. Continually monitor the performance of trading algorithms and executed trades, set algorithm parameters, and employ optimization modules and other execution risk management techniques. Analyze outcomes and make data-driven adjustments to enhance efficiency, profitability, and mitigate potential slippages. Coordinate with internal business control and compliance teams to ensure trading strategies operate safely and fully satisfy all internal and regulatory requirements. Collaborate with technology teams to develop and maintain robust infrastructure and advanced trading platforms, ensuring system reliability, scalability, and security, and provide guidance in prioritizing projects and initiatives that support the development and enhancement of electronic execution products. Communicate quantitative insights and recommendations to technical and non-technical audiences through effective writing, presentation, and documentation skills, while managing multiple assignments with sound project management and organizational abilities.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science, Computer Engineering, Mathematics, Quantitative Finance, Electrical and Computer Engineering, or related field of study plus 3 years of experience in the job offered or as E-Markets, Automated Trading Strategist, Product Engineer, Quantitative Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Quantitative Finance, Electrical and Computer Engineering, or related field of study plus 5 years of experience in the job offered or as E-Markets, Automated Trading Strategist, Product Engineer, Quantitative Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Programming with Python, Java, or C++ and working with KDB/q and SQL to manipulate and aggregate large datasets; Conducting statistical and quantitative research on market and transaction data to understand trading algorithm performance, reduce execution costs, and translate quantitative insights into actionable strategies for technical and non-technical stakeholders using a combination of the following tools and technologies; Python, Java, Matplotlib, Plotly, SQL, Q, and Jupyter; Applying advanced quantitative techniques, including regression, time-series analysis, linear algebra, statistics, optimization, and algorithmic execution to support execution and trading model development and validation; Designing, developing, and deploying algorithmic trading solutions including automated limit order placement and automated execution for sending buy/sell trade requests and orders based on automatically produced signals for order execution across electronic trading instruments including Equities, Futures, FX, commodities and indices, with a focus on performance, scalability, and reliability; Building data pipelines and performing real-time analytics for performance tracking and risk monitoring using tools including Python and KDB/q; Utilizing experience in market microstructure, including central limit order book (CLOB) matching and multi-asset market-making infrastructure encompassing direct market access (DMA) and Financial Information Exchange (FIX) messaging to enable low-latency transmission of orders and market data.

Job Location: 270 Park Avenue, New York, NY 10017.

Full-Time. Salary: $235,000 - $285,000 per year.