QUANTITATIVE ASSOCIATE – Loomis, Sayles & Company, L.P.

Job details

Job Type
Full-time

Full Job Description

Function: Investment Research

Job ID #: 1087

Department: Quantitative Research & Risk Analysis

Position Type: Full-Time

Education Required: See Job Qualifications

Location: Boston, MA

Experience Required: See Job Qualifications

Position Description

The Quantitative Associate reports to the associate director of Quantitative Research and Risk Analysis (“QRRA”) team, and assists in providing quantitative support to fundamentally driven investment processes and portfolio management teams within the firm.

In response to the ever-increasing complexity of capital markets and Loomis senior leadership’s call for establishing disciplined investment processes, the QRRA team has taken the initiative to build quantitative investment tools to support and enhance the firms’ fundamental research capabilities. The position requires knowledge of the various equity and credit strategies being managed in-house, and the underlying investment processes employed to select stocks/issuers and build portfolios. The Quantitative Associate will act as a key liaison between QRRA and various fundamental investment product teams, conducting research to support fundamental investment processes in a systematic/quantitative fashion.

The Associate will play a key role in early-stage model development and day-to-day operations, which entails structuring the core components of the quantitative models, building technology infrastructure to facilitate daily production, and designing various reporting tools for model risk management and performance attribution.

The position requires both strong quantitative/technical skills and effective written and oral communication skills. Although quantitative in nature, this individual is also expected to have a broad knowledge on general capital markets theory and practice, and be able to understand and conduct research on fundamental investment approaches. The individual will work closely with the QRRA team as well as other investment teams across the firm.

Primary Duties and Responsibilities

• Improve, maintain, run and distribute results of various credit valuation models.
• Contribute to the development of economic regime forecasts, default risk forecasts, risk premium forecast, expected credit returns.
• Contribute to backtesting relative value models.
• Contribute to various research projects in risk modeling.
• Partner with investment teams to integrate quantitative tools into their investment processes
• Work with senior quantitative analysts to support their research efforts
• Follow newly published academic papers and industry trends to explore new product ideas
• Maintain code, database and documentation for relevant production processes

Qualifications

Essential Skills:

• Strong knowledge of financial, mathematical, and statistical theory and practice. Fixed Income knowledge is required.
• Strong technical skills and computer literacy in database query and statistical packages including MATLAB (very desirable), Python, SQL, VBA, and/or other programming languages. Proficiency in Excel required.
• Self-driven independent thinker; ability to conduct independent research with limited or no guidance
• Strong ability to effectively communicate quantitative topics and concepts in common language
• Comfortable blending quantitative models with fundamental ideas
• Ability to “think outside the box” and to approach quantitative problems from a unique perspective
• Team orientation and the ability to build widespread credibility with a proactive and open-mined attitude

Education/Work Experience:

• Graduate degree in mathematically related technical field such as computational finance, computer science, engineering, mathematics, or physics

Loomis Sayles Benefit Overview

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, 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.