Experienced Quantitative Portfolio Manager or Strategist

Kershner Trading Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

A trading firm in New York seeks an Experienced Quantitative Portfolio Manager or Strategist to develop new trading strategies for U.S. equities and cryptocurrencies. The ideal candidate holds an MS or PhD in an Engineering or Pure Science discipline and has expertise in alpha research and quantitative methods. This role offers full-time employment in a collaborative research environment with options for remote work.

Qualifications

• Expertise in alpha research, portfolio construction, and risk management.
• Proven track record of contributions to profitable systematic trading strategies.
• Experience with trading U.S. equities and cryptocurrencies.

Responsibilities

• Develop new trading strategies for U.S. equity market and cryptocurrency.
• Utilize the firm’s data platform for research and testing.
• Contribute to quantitative research and backtesting.

Skills

Artificial Intelligence

Machine Learning

Natural Language Processing

Portfolio Optimization

Linear Programming

Time Series Prediction

Factor Analysis

Education

MS or PhD in an Engineering or Pure Science discipline

Tools

Python

C++

C#

Java

R

Job description

Overview

Join to apply for the Experienced Quantitative Portfolio Manager or Strategist role at Kershner Trading Group (a joint venture with SMB Capital). The firm has offices in New York, Austin, and Chicago and seeks individuals with an entrepreneurial spirit, strong work ethic, and analytical skills to develop new trading strategies for the U.S. equity market and cryptocurrency.

Kershner Trading Group / SMB Capital provides a collaborative research environment with access to a cutting-edge data platform, high-performance research and trading infrastructure, investment capital, and trader coaching. Datasets include tick data, fundamental datasets, sentiment and other alternative data, enabling machine learning, simulation, and production environments with co-located execution engines and robust risk management tools.

Responsibilities

• Develop new trading strategies and conduct alpha research for the U.S. equity market and cryptocurrency.


• Utilize the firm’s data platform and infrastructure to enable research, testing, and deployment of strategies with proper risk monitoring.


• Contribute to quantitative research, backtesting, and live strategy deployment from inception to production.


• Collaborate in a research-driven environment and, where applicable, support trader coaching and knowledge sharing.

Qualifications

• MS or PhD in an Engineering or Pure Science discipline.


• Expertise in alpha research, portfolio construction, risk management, and trade execution.


• Quantitative skill sets: Artificial Intelligence, Machine Learning, Natural Language Processing, Portfolio Optimization, Linear Programming, Time Series Prediction, Factor Analysis, and/or Fundamental Equity Valuation.


• Programming: Python (preferred) and/or C++, C#, Java, or R.


• Proven track record or demonstrated direct contributions to profitable systematic trading strategies or processes in U.S. equities and cryptocurrencies; intraday strategies and medium- to high-frequency approaches are preferred.


• Experience with futures, FX, and international equity trading is a plus; ability to deploy and manage strategies from inception.


• Location: New York office with some options for remote teams.

Job Details

• Seniority level: Mid-Senior level


• Employment type: Full-time


• Job function: Finance and Sales