Senior Quant Researcher — Alpha-Driven Trading Models

peak6group; New Jersey; Hybrid; USD 138,000 - 175,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

PTO

401K matching

Job summary

Apex Fintech Solutions is seeking a Senior Quantitative Researcher in Bridgewater, NJ. The role focuses on designing and implementing advanced quantitative models to support trading strategies across multiple asset classes.

You will work with large data sets, conduct rigorous testing, and collaborate with risk and tech teams to ensure robust execution. A master’s degree in mathematics, finance, and two years of post-baccalaureate experience are required.

Qualifications

• Master's degree or foreign equivalent in Mathematics, Finance or related field, plus two years of post-baccalaureate experience as a Quantitative Researcher or in a related position.
• Experience with statistical inference and time-series econometrics.

Responsibilities

• Lead the design, development, and implementation of advanced quantitative models and algorithms to support trading strategies across various asset classes.
• Analyze large datasets to identify patterns, trends, and opportunities for alpha generation.
• Test and validate quantitative models to ensure accuracy and robustness under market conditions.
• Collaborate with risk management to assess and mitigate risks of models and strategies.
• Integrate quantitative models into trading systems with technology teams; mentor junior researchers.

Skills

Quantitative research

Time-series econometrics

Statistical inference

Data analysis

Machine learning

Education

Master's degree in Mathematics, Finance or related field

Tools

NumPy

pandas

SciPy

statsmodels

scikit-learn

Job description

Apex Fintech Solutions is seeking a Senior Quantitative Researcher in Bridgewater, NJ. The role focuses on designing and implementing advanced quantitative models to support trading strategies across multiple asset classes.

You will work with large data sets, conduct rigorous testing, and collaborate with risk and tech teams to ensure robust execution. A master’s degree in mathematics, finance, and two years of post-baccalaureate experience are required.