Quantitative Research Operations Specialist

CHEManager International; Chicago (IL); On-site; USD 90,000 - 180,000; Full time

Job summary

Mesirow is an independent, employee-owned financial services firm based in Chicago. The Quantitative Research Operations Analyst role supports the CIO/Director of Quantitative Research with multi-purpose research tasks, initially operational, with growth into full quantitative research and client engagements.

The ideal candidate has an advanced degree in a relevant field, 1–3 years of experience, strong programming in R, and excellent Excel/MATLAB skills.

Qualifications

• Advanced degree in finance, economics, mathematics, statistics, financial engineering, or related field preferred.
• 1–3 years of quantitative financial research experience required.
• Programming expertise, especially in R; proficiency in Excel; MATLAB a plus.
• CFA charter or progress toward CFA preferred.
• Ability to translate research into practical solutions for clients.

Responsibilities

• Learn and document existing quantitative financial processes and asset allocation methods.
• Operate, update, and improve internal deliverables and processes.
• Develop new quantitative processes to support asset allocation and glide path construction.
• Communicate analysis results to investment professionals and advise on policy changes.
• Apply complex financial theory to real-world investment problems.

Skills

R programming

Excel

Statistics

Financial engineering

Attention to detail

Communication skills

Independent work

Education

Advanced degree in finance/economics/math/statistics/financial engineering

CFA charter holder or progress toward CFA

B.S. with requisite experience considered

Tools

R

MATLAB

Microsoft Excel

Job description

Mesirow is an independent, employee-owned financial services firm based in Chicago. The Quantitative Research Operations Analyst role supports the CIO/Director of Quantitative Research with multi-purpose research tasks, initially operational, with growth into full quantitative research and client engagements.

The ideal candidate has an advanced degree in a relevant field, 1–3 years of experience, strong programming in R, and excellent Excel/MATLAB skills.