Careers


Equal Employment Opportunity
PanAgora is an equal opportunity employer and provides equal employment opportunities to job applicants and employees without regard to race, religion, sex, marital status, color, national origin, age, physical or mental disability, veteran status, pregnancy, ancestry or sexual orientation. PanAgora is committed to maintaining an environment that is free from discrimination as well as adhering to applicable federal and state laws. PanAgora believes everyone deserves an opportunity to contribute to and benefit from its business activity, and to utilize his or her skills and experience.

Senior Quantitative Analyst

Date Posted: April 19th, 2017

Reporting into Director of Equity, will assume responsibility for initially conducting a systems assessment of the current technology being used in Alpha Model generation and identifying/creating better more efficient processes, tools and systems that will improve the overall results that impact Portfolio Construction and all related front office functions. Will be responsible for designing, developing and implementing all recommended changes using current technical frames and other software that is ultimately recommended. Will work closely with Alpha Research team, Portfolio Construction and other software teams in identifying and creating best solutions. Will have direct input into direction of technology for the teams, be able to recommend the actual software and provide a cost analysis. Will be assessing multiple factors that affect the use and impact of the models. Although overall scope and charter is long term, the individual project work will tend to be ad hoc in nature given the nature of the tools/model environment generally lasting for several months. Prospective projects may include determining if cloud architecture should be implemented and if so with what vendor platform ( e.g. AWS, Azure, et al); assessing capabilities of new big data platforms and NoSQL databases and their prospective effective use in the environment;  reviewing existing code base and adding better diagnostics and optimization process; setting up meta data environment; ensuring best interfaces for data analysis to/from Security Master and all other consumer systems downstream; creating auditing software capacity and data storage; creating better logging/tracking mechanisms, establishing better QA methods and process; creating better/faster run times for any given process. Provide continuous communication and reports to constituent associates and senior staff.

Background required should show demonstrated experience and success in architecting, designing and building software systems that are directly related to front office analytics, quantitative analysis, Alpha model generation, and/or Quant Research. Someone who understands systems architecture and can build strong production capacity systems. Solid understanding of the domain and primary skills and interest in software development. Current systems use R, Python, SQL and C#, so some understanding and experience of these and related tools will be necessary with the ability and capacity to assess other software systems and processes that will improve the environment. Individual needs to be independent, communicative, senior enough to produce robust and efficient software solutions. Overall background and Academic foundation should reflect understanding of capital markets and best software engineering practices.

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Intern, Equity Team

Date Posted: April 11th, 2017

Job Description

We are constantly looking for smart and aspiring students to intern within our investment team.   Many of our analysts and portfolio managers started with us as interns.  We are flexible on time and duration.  As an intern, you will conduct special projects for the team in the management of active U.S., international, and absolute return portfolios.

Sample projects include the following:

  • Building proprietary databases which will be used to develop new quantitative tools and insights
  • Conduct research into novel quantitative factors for use in portfolio management decisions
  • Utilizing latest technologies in finance and stock selection

Qualifications

  • Coursework in finance, mathematics, economics, computer science
  • Must have strong mathematical, analytical and/or programming skills
  • Familiarity with accounting, financial statement analysis, fundamental research, and equity security valuation a plus
  • Knowledge of niche stock markets or exchanges a plus
  • Creativity and able to generate new ideas very desirable
  • Strong interests in the global capital markets

Company Overview

Founded in 1989, PanAgora (Greek for across marketplace) Asset Management is a premier provider of investment solutions spanning most major asset classes and risk ranges.  We seek to provide investment solutions using sophisticated quantitative techniques that incorporate fundamental insights and vast amounts of market information.  While PanAgora’s investment strategies are highly systematic in nature, the processes deployed within these strategies are built and overseen by talented professionals with significant and diverse investment experience.  Innovative research plays a central role in our investment philosophy and process, and is an essential component of our firm’s ability to deliver attractive investment solutions.  Investment teams are organized into an Equity Strategies group and a Multi Asset Strategies group.   Most investment team members are engaged in original research using fundamental intuition, market intelligence, modern finance and scientific methods.

We are committed to providing clients with reliable investment processes, consistent performance, transparency, and access to our investment resources. Our client base is comprised of institutional investors across the globe, including public & private retirement funds, sovereign wealth funds, endowments & foundations, and sub-advisory mandates.

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PORTFOLIO MANAGER/QUANTITATIVE EQUITY RESEARCHER (EMERGING MARKETS STOCK SELECTION)

Date Posted: March 28th, 2017

Position in Boston, MA. A company engaged in investment management for institutional, retirement fund, endowment and foundation clients, has an immediate need for a Portfolio Manager/Quantitative Equity Researcher (Emerging Markets Stock Selection) at its office in Boston, Massachusetts. This highly technical Portfolio Manager and Quantitative Equity Researcher position is responsible for researching cutting edge alpha signals and generating complex tools relevant to managing the quantitative investment process for equities, primarily in emerging markets. This position is also responsible for managing emerging market portfolios having a multi-billion aggregate value of diversified equities in long-short/market neutral and other alternative investment areas. The position involves approximately 10% employer-paid domestic and international travel. Minimum education required is a Master’s degree in Computational Finance, Mathematics (or academic equivalent), or other job-relevant major. Minimum post-degree experience required is at least six (6) years developing complex mathematical models for research in building equity-focused alpha signals, multi-factor quantitative investment models, and portfolio optimization, inclusive of managing multi-billion dollars aggregate diversified equity portfolios at least four (4) years of which was investing in emerging markets. Specifically required is the demonstrated ability to: manage sizable emerging market long-short/market-neutral equity strategies; perform advanced programming in Python/Pandas, R and SQL, and highly customized data extraction from Revere, RavenPack and DataExplorers databases; perform risk and return attribution of alpha signals, quantitative models and portfolios; utilize Black-Litterman’s approach to build robust equity portfolios and mathematical optimizations involving constraint analysis and infeasibility studies; and build multi factor equity risk prediction models. Competitive salary together with fifteen (15) days paid vacation, contributory medical and life insurances, and other industry-competitive benefits. (8:30am-5pm/Mon-Fri).

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QUANTITATIVE ALPHA RESEARCH ANALYST (STOCK SELECTION)

Date Posted: March 28th, 2017

Position in Boston, MA. A company engaged in investment management for institutional, retirement fund, endowment and foundation clients, has an immediate need for a Quantitative Alpha Research Analyst (Stock Selection) at its office in Boston, Massachusetts. This highly technical position is responsible for generating alpha factor research and stock selection recommendations using large datasets and collecting empirical data from SEC Edgar and similar websites. The position is also responsible for generating publication-quality research, presentation of research results, and training of staff researchers. 15% employer-paid domestic and international travel required. Minimum education required is a PhD (or academic equivalent) in Finance, Economics, or other job-relevant major. Minimum post-degree academic or industry experience required is at least three(3) years generating alpha factor research and stock selection recommendations using large datasets and collecting empirical data from SEC Edgar and similar websites. Specifically required is the demonstrated ability to: utilize linear and non-linear risk analysis, optimization techniques, and forecasting techniques; calculate and manage portfolio-relevant systematic risk, downside risk, and interest rate risk; lead project teams on various quantitative projects inclusive of risk management, data analysis and research; manipulate large sets of quantitative data and textual data to perform econometric analysis using Perl or Python programming languages; and generate publication-quality research papers and present research results and recommendations to senior management, industry conferences and outside investors. Competitive salary together with fifteen (15) days paid vacation, contributory medical and life insurances, and other industry-competitive benefits. (8:30am-5pm/Mon-Fri).

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