J. Goldman & Co., L.P. ("JGC") is an independent investment manager founded in 1986 by Jay G. Goldman and has been in continuous operation for over three decades. JGC's investment philosophy is based upon fundamental analysis, a comprehensive understanding of the capital markets and disciplined execution on investment ideas. JGC seeks to achieve attractive risk-adjusted returns in all market conditions with low correlation and low volatility. The firm employs a rigorous process to identify, evaluate and allocate capital to the best ideas of its investment professionals. JGC is a meritocracy where teamwork is demanded, talent is rewarded and absolute integrity is required.
POSITION OVERVIEW:
The Firm is seeking a Quantitative Research Analyst to join our Quantitative Strategies team (QS). The QS team is responsible for developing quantitative strategies that utilize the alpha generated by our investment professionals, enhancing it using quantitative methods and external data (Internal Alpha Capture - IAC). Working directly with the Head of QS, this person will become an integral part of the QS team and will also work closely with Fundamental Equity Portfolio Managers, Senior Management, Risk and Technology.
RESPONSIBILITIES
Quickly understand and analyze existing IAC systems, models and data with an eye for possible improvements
Design analytical models of PM alpha using advanced statistical methods, machine learning, and natural language processing
Design, develop, test and document highly reliable systems in a fast-moving environment
Establish strong understanding of business needs and priorities
Improve and extend current research and production software, including backtesting, reports, alpha generation, portfolio construction, and optimization
Deploy new systematic strategies to production
Source, evaluate and onboard new sources of data
Develop software to help design new trading signals
Provide research insights and apply new quantitative methods to design new IAC trading signals
Run research studies on PM alpha using existing and new datasets
Present research results to other members of the quantitative team and to senior management
Work and interface with the data and technology teams
Become an integral part of the quantitative strategies team
DESIRED SKILLS AND EXPERIENCE
Qualifications:
Advanced degree (M.A. or PhD) in a technical or quantitative field required (finance, mathematics, statistics, physics, electrical engineering or computer science or related; 3.5+ GPA preferred). Extensive coursework in economics and mathematics required.
2-4+ years of experience in the following areas while employed at a financial services firm on a quantitative equity team:
1-2 years of alpha research improving IAC strategies by analyzing fundamental PM skill and predictability (required)
1-2 years of experience successfully applying machine learning to financial data (required)
Experience writing code (Python - required & SQL - preferred) for quant research and/or production systems which can be used by a team as well as the ability to understand and work with existing code.
Conduct quantitative research (running and analyzing research studies) including signal research, stock selection and risk modeling. Construct models and signals to forecast returns. Research factor timing signals. Use rigorous statistical testing.
Research and develop analytical tools relating to portfolio construction and optimization, performance measurement, portfolio analytics, attribution and P&L
Give presentations on research and development efforts
Define or recommend model specifications or data collection methods.
Confer with engineers or other analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
Evaluate alternative data sources by running studies and incorporating into existing and new IAC trading strategies.
Modify and run backtests of existing and new trading strategies.
Work with fundamental research analysts and sector analysts to refine investment processes.
Competencies: To perform the job successfully, an individual should excel in the following areas:
Problem Solving & Innovation- the individual identifies and resolves problems in a timely and creative manner, gathers and analyzes information skillfully and maintains confidentiality.
Quality control- the individual demonstrates accuracy, thoroughness, monitors work to ensure quality and possesses a strong attention to detail.
Judgement & Ethics- Display consistently strong judgment and high ethical standards to set an example for the firm. Instills confidence with investors and employees in the compliance culture, policies, and procedures.
Written communication- the individual demonstrates superior writing/drafting skills, presents information clearly and concisely, and is able to read and interpret written information with ease.
Dependability- the individual is consistently at work and on time, follows instructions, responds to management direction and solicits feedback to improve performance.
Planning/organizing- the individual possesses impressive organizational skills, prioritizes and plans work activities and uses time efficiently.
Leadership & Management - The individual is a respected senior leader of the firm, can exhibit leadership stature, manage effective teams, demonstrate ethics and integrity and develop.
Interpersonal skills- the individual maintains confidentiality, remains open to new ideas, effectively communicates and partners with others at the firm.
The Firm offers a total compensation package that includes a base salary and discretionary performance-related bonus, as well as a comprehensive benefits package. Consistent with New York City's Pay Transparency Law, the currently anticipated base salary range for this role is $175,000 to $225,000, which is specific to New York City and New York State. When crafting an offer of employment and total compensation package for candidates, the Firm may incorporate a variety of factors, including, but not limited to, an individual's experience level and qualifications.