Jacobs Levy Equity Management is widely recognized as a leading provider of quantitative equity strategies for institutional clients. Our prestigious global roster of clients includes corporate pension plans, public retirement and sovereign wealth funds, Taft-Hartley plans, endowments/foundations, and sub-advised funds, many of which are included in Pensions & Investments’ top 200 largest retirement funds. We are a signatory to the United Nations Principles for Responsible Investment.

The Jacobs Levy culture emanates from the founders’ entrepreneurial spirit, collaborative relationship, and dedication to research. Ours is an innovative, team-oriented organization that welcomes intellectual curiosity, outside-the-box thinking, and practical problem solving.

Numerous social events throughout the year foster a collegial environment and provide opportunities for staff to interact and build bonds. These include pizza lunches, a holiday party, theater performances, an annual open house, and summer family outings such as a cruise on the Hudson and visits to the Liberty Science Center and the New York Botanical Gardens.

Our corporate campus in Florham Park, New Jersey offers a number of services and conveniences, including a fitness center, walking trails, cafeteria and coffee bar, happy hours, and organized intramural sporting events.

Jacobs Levy seeks innovative professionals who want to grow and learn while helping to drive the success of the firm. We are looking for talented individuals to fill the following positions:

Senior Quantitative Equity Researcher This position is part of our research team and entails empirical research into U.S. and global equity market inefficiencies. Must be familiar with fundamental, expectational and market data, have solid knowledge of asset pricing literature, and strong programming skills. Responsibilities include exploratory data analysis, testing various statistical approaches, developing and enhancing models, and reviewing financial literature. Ideal candidate would be self-motivated with minimum 3 years of empirical equity research experience and a PhD in Finance, Econometrics, or related quantitative discipline, with a strong background in technical computing and statistics.
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We are seeking a Senior Quantitative Equity Researcher with a strong background in technical computing and statistics to join our research team. The team is responsible for researching all aspects of the investment process from data processing and alpha modeling through to portfolio optimization. Our researchers work collaboratively to contribute to our firm’s leading edge, innovative investment process. We seek people who are passionate about equity investment and motivated to outperform the market.
 
Responsibilities include:
  • Conducting exploratory data analysis
  • Empirical research into U.S. and global equity market inefficiencies
  • Reviewing financial literature
  • Developing new and improving existing investment models by identifying novel investment ideas and innovative data sources
  • Creating innovative investment strategies

Ideal candidates will look to combine creative insights with research to make sound investment decisions.
 
Requirements include:
  • PhD in Finance, Economics, Statistics, or related quantitative discipline 
  • At least 3 years of empirical equity research experience
  • Familiarity with fundamental, expectational and market data. Experience with alternative data is a plus 
  • Solid knowledge of asset pricing literature
  • Ability to think independently with good economic intuition and demonstrated record of original research
  • Strong programming skills (Python, R, Julia, C++, etc.), preferably experienced with large datasets and also familiar with parallel programming
  • An understanding of Machine Learning, Natural Language Processing, and AI Engineering is a plus
  • Ability to work collaboratively across departments and to explain challenging technical concepts 

When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The salary may also depend on whether the role includes managerial responsibilities. The expected base salary for this position is $175,000-$250,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more. read less -
Quantitative Data Engineer This position is part of our Data Technology team and will help implement, enhance, and manage our quantitative models. Primary responsibilities include researching, designing, coding, testing, and deploying projects while working in a fast-paced environment and improving proprietary data repository and financial data platforms. The Quantitative Data Engineer will work closely with quantitative research and portfolio management professionals to implement new ideas. The successful candidate must possess strong knowledge of financial equity data (e.g., Compustat, Bloomberg, Thomson Reuters), have solid coding skills (in SQL, Python, Julia, and C++), and experience working with large datasets. MS/PhD degree in Computer Science or related field required.
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We are seeking a Quantitative Data Engineer to design and implement our proprietary quantitative investment systems. You will be a key player in the Technology team and will research, design, code, test and deploy projects while working in a fast-paced environment. 

Responsibilities include:
  • Implement, enhance, and manage quantitative models
  • Design and improve proprietary data repository and financial data platforms
  • Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors
  • Develop and manage reporting and performance analytics platforms
  • Work closely with quantitative researchers on data requests and model development

Requirements include:
  • MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
  • Strong knowledge of financial equity data, a plus with experience in Bloomberg, Thomson Reuters, Compustat, and CapIQ data
  • Broad knowledge of database concepts with proficiency in SQL and stored procedures, preferably with Microsoft SQL Server
  • 2+ years of solid coding experience in Python, Julia, C++, C#
  • Experience in processing large and complex datasets
  • An advanced knowledge of math and statistics
  • Strong communication skills and ability to collaborate across teams

When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The salary may also depend on whether the role includes managerial responsibilities. The expected base salary for this position is $150,000-$250,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more. read less -
Microsoft SQL Server Database Administrator (DBA) This position will build and manage our best in class database platform for our quantitative investment applications and will also develop other applications. Primary responsibilities include maintaining the SQL Server database, designing and developing applications, performing data analysis, and making design recommendations and changes. The DBA will work closely with the Technology team. The successful candidate must have SQL Server DBA experience as well as experience in SQL development, ability to understand requirements, and knowledge of financial equity data (e.g., Capital IQ, Bloomberg, Thomson Reuters). MS degree in Computer Science or related field required.
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We are seeking a SQL Server Database Administrator to build and manage a best-in-class database platform for our quantitative investment applications. The candidate will be a database developer and also participate in other application development efforts.

Responsibilities include:
  • Managing database Disaster Recovery and High Availability for quantitative financial data, portfolio management, and trading databases
  • Installing and upgrading the SQL Server database instances in all environments including but not limited to development, QA, and Production
  • Designing and developing quantitative investment applications, system interfaces, databases, and reporting as required to deliver new systems functionality
  • Performing data analysis, SQL optimization, database tuning, and general database reliability analysis
  • Proactively monitoring the database systems to ensure secure operations with minimum downtime
  • Collaborating with the development team throughout the system lifecycle, providing guidance on table design, database index optimization, and SQL query best practices
  • Implementation and release of database changes as submitted by the development team
  • Applying security patches in accordance with approved maintenance schedules
  • Overseeing data processing workflows and ensure proper monitoring

Requirements include:
  • Master’s degree in Computer Science or related field
  • Proven 5+ years of SQL Server Database Administration experience
  • 5+ years of SQL development experience including package/procedure/trigger/scripting development in a multi-user production environment
  • Ability to understand requirements and create tables, views, stored procedures, functions, and also support SQL deployment to multiple environments
  • Experience with SQL Server High Availability configurations and disaster recovery
  • Experience in C or C++ a big plus
  • Familiarity with equity market data (S&P Global, Bloomberg, LSEG/Refinitiv, FactSet, etc.) is a strong plus

When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The expected base salary for this position is $150,000-$200,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more. read less -
Quantitative Software Engineer This position will play a key role in contributing to the quantitative investment processes. Engineers are responsible for the design, implementation, optimization, and testing of our proprietary quantitative investment systems. As part of a team, primary responsibilities include implementing and enhancing quantitative models, architecting and managing global data repository, creating high performance simulation and optimization engines, developing and managing investment workflow management systems, and building and extending analytics and reporting platforms. The successful candidate must possess strong coding (in Python/Julia and C++) and analytical skills. MS/PhD degree in Computer Science or related field required.
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We are seeking Quantitative Software Engineers to play a key role in contributing to the quantitative investment processes. Our engineers are responsible for the design, implementation, optimization, and testing of our proprietary quantitative investment systems. You will have a great opportunity to build a next generation system for global portfolio management, work with large datasets, and solve challenging business problems.

As part of a team, Primary Responsibilities include:
  • Implement and enhance quantitative models, proprietary portfolio construction, and optimization techniques with Research and Portfolio Management teams
  • Architect and manage global data repository incorporating millions of financial and market data points
  • Create high performance simulation and optimization engines
  • Develop and manage investment workflow management systems
  • Build and extend analytics and reporting platforms 

Requirements include:
  • MS/PhD in Computer Science, Engineering, Statistics, or related discipline
  • Must have strong programming skill in Python/Julia, experience with NumPy/Pandas or similar quantitative software a plus
  • Must have hands-on programming Experience in C/C++
  • 2+ years’ experience with database technologies like SQL server, Oracle, etc.
  • Outstanding coding, debugging, and analytical skills
  • An aptitude for math and statistics
  • Knowledge in .NET and C# is a plus
  • Passionate about solving complex business, data, and technical challenges
  • Contributions to open source software a big plus

When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The salary may also depend on whether the role includes managerial responsibilities. The expected base salary for this position is $150,000-$250,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more. read less -
Client Service Associate This position will be responsible for client, consultant, and prospective client reports, preparing questionnaires and RFPs, updating consultant databases, and assisting in preparing for client, consultant, and prospective client meetings. The successful candidate should be comfortable compiling data, have exceptional attention to detail, and be a good communicator. This position requires a bachelor’s degree and 3+ years of related experience in a fast-paced corporate office environment, preferably in the finance industry.
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We are seeking an energetic, dynamic individual to work in our Client Service and Business Development Group. This professional will prepare client, consultant, and prospective client reports, analyses, questionnaires, and RFPs.

Responsibilities include:
  • Producing client, consultant, and prospective client reports
  • Preparing questionnaires and RFPs
  • Updating consultant databases
  • Using third-party portfolio analysis systems
  • Assisting in preparation for client, consultant, and prospective client meetings

This position requires a skilled professional who has strong analytical skills, shows exceptional attention to detail, and is a good communicator.

Requirements include:
  • Bachelor’s degree, preferably in Finance, Economics, or related field
  • 5+ years of related experience in a fast-paced corporate office environment, preferably in the finance industry
  • Exposure to portfolio and/or performance analysis software a plus
  • Familiarity with investment performance and portfolio characteristics data
  • Attention to detail
  • Strong project and time management skills
  • Excellent computer skills including Word, PowerPoint, Access, Excel, and Outlook
  • Team player

When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The expected base salary for this position is $80,000-$110,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more. read less -
Quantitative Equity Researcher DESCRIPTION: Serve on the Research team. The team is responsible for researching all aspects of the investment process from data processing and alpha modeling through to portfolio optimization. Our researchers work collaboratively to contribute to our firm’s leading-edge, innovative investment process.
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Responsibilities include: 

  • Conducting exploratory data analysis
  • Empirical research into U.S. and global equity market inefficiencies
  • Reviewing financial literature
  • Developing new and improving existing investment models by identifying novel investment ideas and innovative data sources
  • Creating innovative investment strategies

REQUIREMENTS: PhD in Finance, Economics or related quantitative field. Prior education, training or experience to include:

  • Quantitative modeling of equities

Telecommuting may be permitted a few days a week. When not telecommuting, must report to JLEM’s office in Florham Park, NJ.
 

LOCATION:              100 Campus Drive, Florham Park, NJ, 07932
SALARY:                  $175,000 - $210,000 per year
HOURS:                   40 hours per week
APPLY:                     Email resume to:  careers@jlem.com, Reference Job Code: 9678971 read less -

For immediate and confidential consideration, please email your cover letter and resume to careers@jlem.com. Please indicate the position for which you are applying.

Equal Opportunity Employer