Quantitative Analyst

1 Financial Center, Boston, MA 02111, USA Req #111
Friday, February 7, 2025
Loomis Sayles is a performance-driven active asset management company that seeks to identify exceptional investment opportunities on behalf of institutional and retail clients worldwide. We believe active management fueled by proprietary, best-in-class research helps us achieve financial success for our clients. Founded in 1926, Loomis Sayles currently oversees approximately $400 billion in assets under management for global clients spanning more than 50 countries.  
 
We foster a culture of entrepreneurialism, where all employees are empowered and encouraged to develop themselves and their ideas. Our culture centers on our shared IDEALS, the core characteristics of who we aspire to be as employees and an organization. 
 
  INCLUSIVE & DIVERSE-DEDICATED TO TEAMWORKEXCELLENTACCOUNTABLELEADERS-SOLUTION-ORIENTED 

Loomis Sayles is committed to the continual improvement of our performance, processes and people. As part of this commitment, we are looking to hire an enthusiastic and passionate candidate, eager to contribute to our continued success through the following employment opportunity: 

  About the Role

Support Portfolio Construction, Trade Execution, Trading Cost Analysis, Model Delivery, and ad-hoc statistical analysis. Leverage PostgreSQL and SQL Server to develop database architectures to store and manipulate large datasets. Leverage C# and other programing user interfaces to automate complex processes, develop and back-test portfolio construction and execution strategies, and display complex data to non-technical stakeholders.

Job Responsibilities

  • Collaborate on the architecture and development of a front-office investment platform with an emphasis on systematic solutions to support scalability and customization across a broad product suite.
  • Enhance operational efficiency by applying software engineering methodologies to streamline existing complex processes related to order creation and trade execution.
  • Apply mathematical and statistical techniques in developing analytical tools to display accurate performance, attribution, profit and loss measurement, and pricing of complex portfolio structures in a real-time pricing environment.
  • Provide in-person application and analytical support, while applying proper source code management to implement enhancements in a production environment.

Education and Experience 

Master of Science degree (or foreign education equivalent) in Engineering, Computer Science, Information Systems, Mathematics, Physics, or a closely related field and two (2) years of experience as a Quantitative Analyst (or closely related occupation) building software applications and performing data analytics in a financial services environment. 

Skills and Knowledge

Candidate must also possess:

  • Demonstrated Expertise (“DE”) in leveraging data-driven approaches to analyze and evaluate investment and trading strategies across various financial instruments, including fixed income, equity and derivatives while utilizing advanced data analytics techniques and risk methodologies such as stress testing and scenario analysis.
  • DE integrating large datasets of financial or non-financial information into existing data framework, and presenting summarized or detailed findings to senior stakeholders to support and improve investment decisions; and using Python or API development and BI tools for advanced data visualization.
  • DE developing and conducting quantitative data and risk analyses – statistical regression modeling, portfolio optimization, Monte Carlo simulation, Value-at-Risk (VaR), and liquidity risk, using Python, R, Bloomberg, and Excel.
  • DE interfacing directly with traders, portfolio managers or other end users, and independently developing robust data warehouse utilizing Python, C#, and SQL to architect solutions to non-technical stakeholders.

Loomis Sayles Benefit Overview 2025

EEOC and Diversity Statement  
 

Loomis Sayles is deeply committed to building a diverse and inclusive workforce in which talented individuals can realize their full potential and contribute to our growth and success. Please consider applying for this role even if your work history and skillset doesn’t completely match the job description. We believe creativity, tenacity and humility are as valuable as specific skills that can be practiced and perfected on the job.  
 
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, creed, color, gender, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Other details

  • Job Family Investments
  • Job Function Quantitative Analysis
  • Pay Type Hourly
Location on Google Maps
  • 1 Financial Center, Boston, MA 02111, USA