Quantitative Trader (736088)

A full-time Quantitative Trader position is available immediately in the company’s location in New York, NY, reporting to the Portfolio Manager.

Reporting to the Portfolio Manager, the Quantitative Trader will have the following specific job responsibilities:

(1) Assist in bridging the gap between discretionary macro investing and quantitative trading by transforming macroeconomic insights into rule-based, data-driven trading strategies;

(2) Proactively monitor and analyze macroeconomic news, data releases, central bank policies, geopolitical events, price actions, and technical patterns within the global financial markets to capture global macro trends/shifts, assess their impact on asset pricing, and identify value-adding trading opportunities;

(3) Interpret a vast array of financial market data sets, extract predictive signals from macroeconomic data, market structure indicators, and alternative data sources, conduct rigorous feature engineering, and build automated pipelines and tools for simulation that support and improve efficient and controlled transition from research and back testing to live trading;

(4) Design and implement semi-systematic trading strategies that incorporate macro-driven and fundamental signals into portfolio construction and risk management, conduct model validation, and apply independent algorithms to help verify the results of analytical systems;

(5) Develop tools to evaluate trading results and performance, applying Python, Java, or C++ to track benchmarks and portfolio growth, measure potential P&L and risk metrics, and enhance computational efficiency;

(6) Track, analyze, and evaluate the performance of quantitative trading strategies, effectively managing and adjusting the execution of strategies based on market structure and market microstructure;

(7) Work closely with the portfolio manager, researchers, developers, as well as discretionary macro strategists to refine and optimize quantitative strategies in production, and collaborate with developers to build live trading systems and backtest simulators and execution platforms; and

(8) Explore novel macro-driven systematic trading strategies, leveraging machine learning, econometrics, and big data analytics.

Required Travel: Occasional international travels, 1-2 times per quarter, for a few days each travel.

Work Hours: 9:00 AM - 6:00 PM

A minimum of five (5) years of demonstrated professional employment experience in quantitative financial data research, analysis, and modeling, including a minimum of two (2) years of employment experience in optimizing trade execution.

Required employment experience must include the following:

(1) A minimum of five (5) years of demonstrated experience in working with US and EU fixed income products comprised of cash bonds and interest rates derivatives, including futures, swaps, options, spreads, and cross-currency products;

(2) A minimum of five (5) years of demonstrated experience in utilizing Bloomberg and Haver to gather and access financial and economic data;

(3) A minimum of five (5) years of demonstrated experience in utilizing Excel, Python, and R for econometric modeling and data analysis;

(4) A minimum of five (5) years of demonstrated experience in conducting all aspects of investment research, including fundamental and quantitative analysis, backtesting, market risk assessment and hedging optimization, as well as P&L approximation;

(5) A minimum of five (5) years of demonstrated experience in executing fixed income cash and derivative trades;

(6) A minimum of two (2) years of demonstrated experience in conducting trade-related research, financial analysis, and data modeling using statistical models to support and enhance positions in the trading portfolio and trading decisions;

(7) A minimum of two (2) years of demonstrated experience in generating and implementing trade strategies and making appropriate trading and hedging recommendations to the Portfolio Manager;

(8) A minimum of two (2) years of demonstrated experience in monitoring, analyzing, and staying informed on macroeconomic news, price actions, and market dynamics and positioning to assess impact on the trading portfolio and make timely recommendations; and

(9) A minimum of two (2) years of demonstrated experience in communicating market insights and trade performance data to the Portfolio Manager and related stakeholders.

Bachelor’s Degree in Computational Finance, Mathematical Sciences, or a related field

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #736088 in the subject line.