Quantitative Analyst Salary: Bank Quant, Risk, and Prop Pay Bands
Quantitative analyst salary charts often mix bank risk roles, corporate analytics, and prop research titles. Filter by employer type, level, city, and base vs all-in before you trust one number.
Candidates search quantitative analyst salary after an Indeed tile, a CQF blog table, or a Reddit thread that uses "quant" for three different jobs. The useful question is not "what do quants make," but which role: bank quantitative analyst or risk analytics, a corporate modelling job with a flashy title, or a prop quantitative researcher / quant trader posting that leaked into the same search.
This guide separates those overlapping titles, covers rough US ranges by firm type, bonus and city effects, how pay compares to quantitative researcher salary, quant trader salary, risk analyst salary, and investment banking salary, and shows how to use pay data without sounding mercenary.
Why quantitative analyst salary charts disagree
Indeed, ZipRecruiter, Payscale, Glassdoor, CQF explainers, and Reddit threads often answer different questions while sharing the same three words.
| Data source pattern | What it usually mixes | Student mistake |
|---|---|---|
| Job-board median | Bank QA + corporate analytics + misc industries | Modelling one number for every firm type |
| Prop / HF screenshot | QR or QT cash under a "quant" label | Pasting research packs onto a bank risk posting |
| City tile (LA, NY, SF) | One hub's cost and bonus norms | Ignoring hub premiums elsewhere |
| Reddit salary dump | One cohort, one vintage | Copying it into every interview |
Practical rule: when someone quotes a quantitative analyst salary, ask for employer type, title, level, city, year, and base vs all-in. A Midwest corporate analytics role is not a New York bank strats package, and neither is a Jane Street research offer.
Track the role you want as its own application with division and stage. Start for free so pay notes stay attached to a real process.
Bank quantitative analyst vs QR vs quant trader
Search engines treat these as one family. Recruiting does not.
Bank quantitative analyst / strats / risk analytics
Banks hire quantitative analysts for pricing support, risk models, valuation tooling, and analytics next to trading or markets. Interviews test maths fluency, coding comfort, and how you explain a model under pushback. Cash follows bank grade structures plus a bonus that moves with firm and desk performance. Hours can spike around risk events and reporting cycles without matching classic IBD deal weeks.
Prop quantitative researcher (adjacent keyword)
Related searches for quantitative researcher salary pull research roles at prop shops and multi-strategy platforms. Those packages often clear bank QA cash early, with a sharper probability and research bar. Do not model QR totals for a bank risk posting. Use the quantitative researcher salary guide when the JD is research-first.
Quant trader (adjacent keyword)
Related searches for quant trader salary pull execution and P&L-linked desks. Bonus swings harder with performance. Separate that ladder in the quant trader salary guide.
Soft rule: read the posting for models vs markets vs P&L ownership. Title alone is weak signal. If the role is closer to controls and policy than models, pair with risk analyst salary.
Typical US pay by firm type
These are rough US ranges, not guarantees. Use them to compare firm types before you trust one Glassdoor number.
| Firm type | Early-career cash (illustrative) | What moves the number |
|---|---|---|
| Bank quant / risk analytics | Often high-$80Ks to mid-$150Ks+ all-in early | Hub, desk, bonus year |
| Corporate / industry "quant analyst" | Often mid-$70Ks to low-$120Ks all-in | Industry, scope, city |
| Prop / multi-strat research labelled QA | Can jump into QR-like bands | Firm tier, title truth |
| Smaller shop / non-hub | Often materially lower | Cost of living, AUM |
How to read the table
- All-in means base plus expected bonus for that year when a bonus exists.
- Not included: signing, deferred equity stories, or London FX and tax.
- Job-board midpoints near $110K base are blended. They are not a New York prop model.
- Title inflation is common. "Quantitative analyst" at one bank can mean senior model ownership elsewhere.
Related searches for salary of quantitative analyst and quantitative analyst salary New York pull hub premiums, not a second career. Match city and level before you model either.
What the cheque actually includes
| Component | What it is | Student mistake |
|---|---|---|
| Base | Guaranteed cash | Treating a base-only posting as all-in |
| Bonus | Year-end or desk variable | Ignoring firm and desk performance |
| Signing (some offers) | One-time cash | Annualising a signing cheque |
| Firm-wide median | Blended titles and geos | Comparing junior + senior as one number |
Practical rule: compare identical components only. A cash-only corporate posting next to a New York prop all-in screenshot is how forum threads mislead.
City, desk, and bonus effects
City moves quantitative analyst salary as much as title does. New York, Chicago, and other finance hubs pay more for bank quant and risk roles. Cost of living does too. Ask for title plus location on every screenshot.
Desk matters. A markets risk role, a pricing analytics role, and a corporate FP&A-adjacent "quant" posting can share a title with different cash and stress profiles. Bonus can be modest in quieter years and still material when the bank or desk hits targets.
Do not paste a top IBD bonus meme onto a bank risk model, and do not paste a Jane Street research total onto a regional analytics posting. Those are different labour markets that happen to share a keyword.
How quantitative analyst salary compares to QR, QT, risk, and banking
QR and QT cash at strong prop shops often clears junior bank QA totals. That gap reflects interview bar and firm economics, not a ranking of who is "smarter." Separate the ladders instead of averaging them.
Bank risk analyst salary packages can overlap QA early when the work is controls-heavy. Model ownership and coding depth still diverge. Read the posting before you decide which guide applies.
Strong IBD analyst cash in New York can sit near or above junior bank QA totals depending on year and group. The work and interview loops are different. Compare same city, same year, same components. Then decide on work content using the investment banking salary guide.
For fund-side cash context outside pure research titles, see hedge fund salary.
Mistakes when researching quantitative analyst salary
Treating one Indeed range as gospel is the classic error. Rows that stretch from roughly $80K to $270K are telling you the label is messy, not that your offer will land in the middle.
Counting a QR or QT screenshot as bank QA cash inflates the story. Ignoring hub premiums turns a regional posting into a fantasy New York model. Asking first-round interviewers for exact bonus numbers reads as mercenary. Choosing "quant" only because Reddit said it pays the most fails the first model walkthrough.
Validate fit with the actual posting scope, not only a total cash screenshot.
How to use pay data in recruiting without sounding mercenary
- Model a range, not a single Payscale number.
- Separate base, bonus, and any signing before you compare two offers.
- Compare same employer type only: bank QA vs corporate analytics vs prop research.
- Ask alumni what changed between quiet years and volatility-heavy years.
- Decide on work and skill fit first. Use pay as a filter, not the whole story.
If two offers differ by $10K but one teaches better model ownership, the better learning path often wins early-career. If two roles differ by $40K with similar learning, the cash gap is real information.
When applications multiply across banks and prop shops, keep pay notes next to each row. Start for free and attach division and stage to every process you are actually running.
What interviews test that salary screenshots miss
Pay tables do not prepare you for the screen. Quantitative analyst interviews usually weight clear maths communication harder than a memorised formula dump.
Early screens look for how you explain a model to a non-specialist. Bring one clean example of analysis you owned. Later rounds test coding comfort, probability intuition, and how you handle incomplete data. Do not invent a "risk system redesign" you cannot defend. Fit rounds ask why this desk over trading or banking. "I like maths and money" alone is a weak answer.
If your motivation letter still reads like pure M&A or pure prop trading, rewrite it before you paste the wrong cash expectations into the story.
What to do after reading this
Looking at bank quant, risk analytics, or a posting people keep comparing to prop research? Filter every pay screenshot by employer type, title, level, city, and base vs all-in before you model an offer.
Next reads: quantitative researcher salary, quant trader salary, risk analyst salary, and investment banking salary.
