Junior Quantitative Researcher

The role

Deeter Analytics is a privately held investment research and trading firm managing its own capital across public markets. After years of discretionary success, we think we have some unique ways of seeing the market, and we pair sharp human judgment with modern AI to act on them.

A lot of what we trade starts as a hunch at the desk: a pattern 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 when, and where it breaks.

What you need

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 base rates, sample sizes, and conditioning; you know what autocorrelation, overlapping windows, and fat tails do to naive statistics, and you'd rather report a small honest edge than a large fragile one.
Hypothesis-driven. You start from a mechanism (why would this work, who's on the other side, why hasn't it been arbitraged away) and let the data disappoint you, not the other way around.
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 nothing. "There's nothing there" is a result you deliver without flinching: a clean negative saves the desk real money, and you never dress noise up as signal to give someone the answer they wanted.
Genuinely curious about markets. You want to know why prices move. You don't need professional markets experience, you need to care about the answer.
Low ego and coachable. You take feedback well, update quickly when the facts change, and care more about the answer than the credit.

Core skills

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

Junior Quantitative Researcher

The role

Junior Quantitative Researcher

The role

What you will do

What you need

Who you are

Core skills

How you work

Pay and benefits

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Deeter Analytics