Careers

At QS Investors, part of our mission is to promote and encourage a culture of openness and shared ideas. Our compensation packages are competitive and commensurate with accomplishments. We provide a generous benefits package that includes a 401(K). We are an equal opportunity employer.

QS Investors is currently seeking to hire a Quantitative Analyst , Compliance Officer and Senior Quantitative Equity Analyst.

CONTACT: Please send cover letter and resume to recruit@qsinvestors.com


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QS Investors is seeking a Quantitative Analyst to join the Solutions Team in New York.

Summary:
The Solutions team leverages QS’ capabilities to develop innovative investment solutions tailored to meet client needs. These solutions are developed as part of a multi-disciplinary team bringing together expertise from research, portfolio management, and investment strategy. An in-house investment analysis and research platform is maintained by the group and is used to test and implement these investment strategies. The solutions group supports a variety of strategies including Tactical and Strategic Asset Allocation and Quantitative Equity.

Key Responsibilities include:

  • Developing client driven investment solutions and product development projects as part of a multi-disciplinary team
  • Platform development and maintenance: programming in Matlab to maintain and test existing capabilities and add new capabilities; and also maintain and extend a database covering various assets and investment strategies
  • Portfolio construction research: evaluate portfolio construction approaches and techniques through simulation
  • Risk modeling: maintain and test existing risk models and risk modeling methodologies, and develop and implement new approaches to risk modeling
  • Transaction cost modeling: maintain and test existing cost models, and develop and implement new approaches to transaction cost modeling

 

Qualifications:

  • 2-5 years of experience
  • Strong programming skills with experience in Matlab or other statistical packages such as R, SAS, and SPlus. Object oriented programming experience a plus
  • The ideal candidate will have a graduate degree, and will have focused on either Finance or Economics in one degree and on one of Statistics, Applied Math, Operations Research, Engineering, or Computer Science in another; CFA a plus
  • Understanding of financial markets – particularly from a multi-asset perspective
  • Excellent interpersonal skills; enjoys working as a member of a team as well as on an individual basis


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QS Investors is currently seeking to hire a Compliance Officer to join our team in New York.

Summary:
We are seeking an experienced Compliance Officer to assist in facilitating the firm’s compliance program and meeting the compliance needs of our clients. The ideal candidate will have experience working for a quantitative asset management firm, at least 5 years compliance experience at an SEC-registered investment firm, and have knowledge and practical application of the Investment Advisers Act of 1940 and the Investment Company Act of 1940. This position will report to QS Investors’ Chief Compliance Officer and work side-by-side with other compliance professionals and other employees. The position is highly visible to executive management and to the firm’s clients.

Key Responsibilities:

  • Provide guidance to employees on compliance issues, including employee training
  • Review advertising and marketing materials
  • Assess internal compliance risks and potential conflicts of interest
  • Respond to and ensure compliance with client reporting requirements, including those of domestic and foreign-based investment companies and other clientele
  • Establish, amend, monitor, document and test written compliance policies and procedures
  • Review certain trading desk activities, including trade allocations
  • Implement, monitor pre-/post-trade investment guideline compliance and reporting
  • Monitor compliance with the firm’s Code of Ethics and related policies and procedures
  • Review various portfolio management processes
  • Participate in various projects, as requested

 

Qualifications:

  • Minimum five (5) years compliance experience at an SEC-registered investment adviser
  • Bachelor’s degree, preferably with a concentration in law, business, finance or accounting
  • Marketing and advertising review experience, GIPS requirements a plus
  • Automated pre- and post-trade investment guideline monitoring experience, e.g., CRTS Personal trading compliance system experience e.g., StarCompliance SunGard Protegent PTA
  • Proficient in the use of Microsoft Office, particularly Microsoft Excel
  • Understanding and practical application of Investment Advisers Act of 1940 and the Investment Company Act of 1940. Understanding of FINRA, ERISA, CFTC, or other Ex-US regulatory requirements a plus

 

Characteristics:

  • Self-motivated, with very strong organizational and time management skills
  • Understands the necessity to adequately document all work, detail oriented
  • Able to handle and prioritize multiple tasks in a time-sensitive environment
  • Able to work both independently and as part of a team
  • Can comprehend and effectively communicate technical regulatory requirements to others
  • Solid written and verbal communication skills
  • Able to successfully interact and negotiate with professionals, including executive management, sometimes in difficult situations


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QS Investors is currently seeking to hire a Senior Quantitative Equity Analyst to join our team in New York.

Summary:
We seek an experienced quantitative analyst to enhance and support QS Investors’ suite of global equity investment strategies. The ideal candidate will have 8-15 years of empirical research and practical implementation experience with a broad skill set that extends from market insight to quantification for historical validation to practical implementation to analyzing the contribution to live performance. Additionally, the ideal candidate will have experience with machine learning and/or text analysis, as well as more traditional econometric techniques, and will be familiar with the literature in applying these fields to stock selection.

Openness to new ideas, creative thinking and collaboration are essential. Preference will be given to candidates who can provide evidence of hands on experience in researching dynamic weighting, stock selection factors, and other active alpha generating ideas, and who are able to explicate their theoretical underpinnings.

Key Responsibilities:

  • Support and enhance current alpha forecasting models for global equities
  • Lead independent research projects by generating creative ideas and rigorous quantitative analysis that includes testing the efficacy of factors; identifying the industry-specific, macroeconomic and behavioral drivers of variability in factor performance; and writing robust production code
  • Participate in the development of the data infrastructure for investment management, looking for alternative and new sources of data, and ensuring the cleanliness and accuracy of data
  • Maintain knowledge on current and emerging developments/trends, and identify and recommend new research ideas
  • Create and communicate technical presentations, explaining our investment philosophy, strategy characteristics, and performance attribution to a wide variety of audiences
  • Enhance existing reports and/or develop new solutions for analyzing portfolio exposures and attribution analysis so that PMs and product specialists can easily answer questions or write commentary around investment return and risk, market conditions, and the indicators and analytics used in QS’ models
  • Undertake ad hoc analytical projects as needed to support investment management, marketing and client services

 

Qualifications:

  • Minimum 8 years of experience with global equity markets
  • Superior quantitative skills with experience/training in machine learning, data science, econometrics, finance, statistics, economics, or science/engineering fields
  • Significant programming skills in Python, Matlab and/or other statistical packages such as R, SPSS, SAS or SPlus. SQL a plus
  • Hands on experience with financial datasets such as Compustat, I/B/E/S, Datastream, Thomson Reuters Fundamentals, Worldscope, EDGAR
  • Experience with Axioma, Barra or other risk modeling / optimization engine

 

Characteristics:

  • Market acumen
  • Self-motivated with intellectual curiosity
  • Attention to accuracy and clarity of data visualizations
  • Excellent written and oral presentation skills, able to explicate the theoretical underpinnings for model factors and weighting
  • Well-developed interpersonal skills that foster a culture of teamwork and knowledge sharing