Remote Quantitative Analyst
Somebody has to find the pattern before the market catches up. That's the job. This Remote Quantitative Analyst position sits at the intersection of financial research and code, and the person who fills it builds the models that others trust with real money. The salary is $145,877 a year, and given what's expected here, that number tracks.
The Actual Weight of the Role
A model that lives only in a notebook doesn't do much good. The ones that matter get pulled into live decisions — sizing a position, flagging a risk before it turns into a loss, holding a portfolio together when a sector suddenly moves the wrong way. You won't be graded on how many models you produce. You'll be judged on whether the ones you ship survive contact with an actual, uncooperative market.
Responsibilities You'll Own
- Research equity and derivatives markets to surface patterns, mispricing, and emerging risk.
- Build and refine quantitative models, then stress-test them against volatility that doesn't behave.
- Pressure-test existing strategies against shock scenarios and rework them where they crack.
- Work alongside the team on algorithmic trading ideas, including datasets that change the conclusion.
- Explain a model's logic to people who won't read the underlying code.
- Watch overnight market activity for anything that doesn't fit the pattern, and chase it down.
What Gets You in the Door
- Education: Bachelor's degree, minimum.
- Experience: 3 years or more doing quantitative analysis, financial modeling, or something close enough to it.
- You can actually write production-quality Python, R, or MATLAB — not just run someone else's script.
- You're not intimidated by a dataset that's incomplete, mislabeled, or just plain messy.
- You understand how portfolio risk works in practice, not only in a textbook.
- You can walk a non-technical stakeholder through a complex model without losing them or dumbing it down.
Not Required, But It Helps
Nobody's disqualified for lacking these. They just make the ramp-up shorter.
- A Master's degree in statistics, mathematics, finance, or something adjacent.
- Hands-on work applying machine learning to trading or forecasting problems.
- Time spent inside a hedge fund or investment bank's analytics function.
- Some exposure to the infrastructure that handles large-scale financial data.
A Week That Doesn't Repeat Itself
Monday usually opens with a scan of overnight moves, looking for whatever doesn't fit. Somewhere around Wednesday you're elbow-deep in a stress test that keeps producing results you don't trust yet, so you dig into why. A call on Thursday might start as a routine sync and end with someone's dataset reshaping the whole strategy under discussion. By Friday you're closing loose ends and figuring out what actually needs attention next week — because it's rarely the same thing twice.
Two Stories From the Floor
One analyst's stress test revealed unusual volatility in a single sector days before the broader market reacted — that early flag ended up saving the desk a substantial sum. Separately, an early build of a machine-learning execution model performed badly out of the gate. After a round of adjustments, it was noticeably better at timing entries. Neither result showed up on the first attempt. That's fairly normal here.
What Keeps a Remote Team From Drifting Apart
Being remote doesn't mean being on your own. There are weekly huddles to stay aligned, informal video calls that exist mostly to talk about something other than work, and a schedule you largely set yourself. People searching for finance roles on
Naukri Mitra often want to know whether remote positions still offer real mentorship — this one does, and it's built into the week's rhythm rather than bolted on.
Pay and What Comes With It
On top of the $145,877 salary, the role includes:
- Health coverage that extends to your dependents.
- Paid time off you're actually expected to take.
- A bonus structure tied to the outcomes of your research and models.
- A training budget for certifications, courses, or relevant conferences.
- The freedom to structure your day around when you actually think best.
Where the Role Can Take You
- Move deeper into hedge fund research, or branch into investment banking analytics.
- Pick up more advanced programming and modeling techniques over time.
- Lead a project, mentor someone newer, and start shaping strategy rather than just executing it.
Who Tends to Do Well Here
This suits someone who doesn't need a model to work on the first try. Markets shift without warning, and most of what you build will fail before it holds up. The people who last in this role treat that as the job, not as a setback. If you'd rather see your analysis actually change a decision than sit in a report nobody reads, this is worth applying for.
Applying
This role is open to remote applicants anywhere, including candidates in the USA, India, and other eligible regions. Send your application along with a short note on your background in quantitative research, and someone from the hiring team will follow up.
