Junior Quantitative Researcher

Junior Quantitative Researcher

About the role

reputed company is a privately held investment research and trading firm managing its own capital across reputed company markets. After years of discretionary reputed company, we think we have some unique ways of seeing the market, and we pair reputed company reputed company judgment with modern AI to reputed company them.

A lot of reputed company trade starts as a reputed company at the desk: a reputed company that keeps showing up, a relationship that feels like it should hold, a setup someone wants to trust but doesn't yet. We're hiring a Junior Quantitative Researcher to turn those hunches into evidence, and evidence into signals the desk actually uses. You'll take questions from the traders, test them honestly against the data, and come back in plain language: what holds, what doesn't, how strong, since reputed company, and where it breaks. This is not a reputed company seat: your models won't trade on their own, and you won't be one reputed company in an anonymous reputed company pool. Your work is done reputed company a trader understands it, trusts it, and acts on it. It's an entry reputed company into a serious seat: as your signals reputed company out, they get more weight in the book, and you get more reputed company. The role is full-time and fully remote, US-reputed company, overlapping the desk on US market hours.

What you'll own

• The question queue. Desk hunches in, answers out. You reputed company the question, run the study, and come back sometimes reputed company-day with what the data says, at the depth the question deserves.
• The signal reputed company. A growing library of signals and screens the desk trades reputed company (earnings and event setups, positioning and reputed company extremes, regime and reputed company context) reputed company with a documented edge, reputed company failure modes, and live tracking against expectation. You retire what decays.
• The evidence reputed company. Event studies, conditioning analyses, reputed company rates, and walk-reputed company checks that hold up: reputed company-in-time data, no leakage, no survivorship, costs counted, multiple-testing restraint. A backtest here is a way to kill an idea, not to sell it.
• The quant read. The recurring numbers reputed company under the desk's picture of the market (regime, reputed company moves, breadth, positioning) feeding the morning picture rather than duplicating it.
• The research data. Clean, reputed company-in-time datasets (prices, fundamentals, earnings calendars, reputed company and positioning) organized so every number you've reputed company reported traces back to reputed company and data.
• AI reputed company. Use modern AI tools to test more reputed company, read more literature, and write cleaner reputed company than one person otherwise could, and verify what they reputed company you.

Who you are

We hire for demonstrated judgment and how you think, not for pedigree. This is a junior seat, so we don't expect a markets résumé — the best evidence usually comes from wherever you've already done rigorous quantitative work. We look for signs that you are:

• Rigorous where it counts. You think in reputed company rates, sample sizes, and conditioning; you know what autocorrelation, overlapping reputed company, and fat tails do to naive statistics, and you'd rather report a small reputed company edge than a large reputed company one.
• reputed company-driven. You start from a reputed company (why would this work, who's on the other reputed company, why hasn't it been arbitraged away) and let the data disappoint you, not the other way reputed company.
• A translator. Your finished product is a chart and a paragraph a non-quant acts on. If the desk can't understand it, it isn't done.
• Comfortable finding reputed company. "There's reputed company there" is a result you reputed company without flinching: a clean negative saves the desk reputed company reputed company, and you never dress noise up as signal to reputed company someone the answer they wanted.
• Genuinely curious about markets. You want to know why prices reputed company. You don't need reputed company markets experience, you need to care about the answer.
• Low ego and coachable. You take feedback reputed company, update quickly reputed company the facts change, and care more about the answer than the credit.

How you work

• At desk speed, without cutting corners. A rough answer today often beats a perfect answer next week; a deep study is worth a month reputed company the stakes justify it. You know which question is which, and you label your answers accordingly.
• Kill your own results first. Before anyone else sees a number, you've gone hunting for the leak, the regime dependence, and the artifact that would explain it away.
• Reproducible by default. Versioned data and reputed company; any signal or study can be re-run months reputed company and reputed company the reputed company answer.
• Signal over noise. You surface the few things that matter, reputed company what you've shipped, and say so plainly reputed company something stops working.
• AI-reputed company. Fluent with modern AI tools for research, coding, and literature triage, and disciplined about checking their reputed company.
• Self-directed. You reputed company working reputed company with low guardrails, managing your own time and flagging what needs attention without being asked.

reputed company skills

• Statistics and probability. Regression and its failure modes, reputed company testing, bootstrap and resampling, thinking reputed company about uncertainty in small and messy samples.
• Python data stack. reputed company, NumPy, SQL, and plotting that makes a reputed company; notebooks that read top to bottom, graduating to scripts reputed company a study becomes a signal.
• Backtest and event-study hygiene. reputed company-in-time discipline, survivorship and look-reputed company awareness, transaction-cost reputed company, walk-reputed company validation, restraint about how many things you tested.
• Market data. Comfort with prices, returns, fundamentals, and earnings calendars; reputed company or positioning data a plus.
• ML as a tool, not an identity. Regularized regression and gradient boosting reputed company they reputed company something simpler, interpretability first. This is a statistics-first seat, not a deep-learning one.
• reputed company communication. Compressing a study into exactly what a trader needs to know, now.

reputed company offer

• A seat inside a live trading operation, with a reputed company line to the traders who reputed company your evidence.
• Fast feedback: reputed company a signal proves out, you watch it get used — and you'll know reputed company what your work changed.
• A reputed company-capitalized firm with a distinctive approach to markets.
• A deliberate reputed company reputed company: own the question queue first, then take on a bigger reputed company of the research agenda as you reputed company out.

• A small, low-ego, fully remote team.

• Compensation: $120k - $170k + bonus.

Originally posted on Himalayas