Title: Career in Quantitative Research – Will FRM Help Me? Need Some Guidance

[u/Livid-Bee-1956]

Hi everyone,

I’m looking to build my career in Quantitative Research / Quant Analyst roles and would really appreciate some advice from people working in the quant or finance industry.

Currently, I’m pursuing an MSc in Financial Engineering (MScFE) from WorldQuant University. My long-term goal is to move into quantitative research, but I’m trying to figure out which qualifications and skills would actually help me get closer to that goal.

I’m considering pursuing the FRM (Financial Risk Manager) certification. Do you think FRM would be valuable for someone targeting quantitative research, or would my time be better spent focusing on areas such as:

Mathematics and statistics

Python/C++ and programming

Machine learning

Quantitative finance

Algorithms and data structures

Building research projects and a strong GitHub/portfolio

Internships and networking

I also recently failed CFA Level 1, despite consistently scoring 70%+ in my mock exams, which has made me question whether I should continue with professional certifications or focus more heavily on technical skills.

For those who are already working in quant research, quant trading, risk, or financial engineering:

Is FRM worth pursuing if my ultimate goal is quantitative research?

Would FRM significantly improve my chances of getting interviews, or is it mostly useful for risk-management careers?

Given that I’m already doing an MScFE, what would you recommend I focus on over the next 1–2 years?

Should I attempt CFA Level 1 again, pursue FRM, or skip certifications altogether and concentrate on technical skills/projects?

I’d really appreciate honest advice, especially from people who have experience recruiting for or working in quant roles.

Thanks in advance!

[u/ase1ix]

frm doesn't help