Public salary data on quant roles is broken.
Senior candidates negotiating offers have no clean reference point.
Hiring managers benchmarking comp have the same problem from the other side.
The result: offers get made on guesswork.
Both sides leave money on the table or overpay relative to the market.
AlgoTradingMap publishes structured comp benchmarks by tier, seniority, and firm category, base, bonus, and PnL share where disclosed. The data candidates and hiring managers actually need to calibrate.
Link in comments.
#QuantCompensation #AlgoTrading #Hiring
Most quant candidates apply to the same handful of firms.
They chase the headline names.
Everyone does.
They miss the 300+ firms below the top tier where the actual hiring happens.
These firms hire faster, pay competitively, and offer cleaner PnL attribution.
Most candidates have never heard of them.
AlgoTradingMap covers 400+ quant firms across 30+ countries and 100+ cities, organized by tier, category, and region.
The firms worth looking at are mostly the ones you don't know exist yet.
#QuantCareers #AlgoTrading #HedgeFunds
400+ quantitative trading firms.
100+ cities.
30+ countries.
AlgoTradingMap is an interactive directory of the global quant landscape, covering multi-manager platforms, quant hedge funds, HFT, proprietary trading, systematic macro and CTA, and crypto quant.
Each firm has compensation benchmarks, office locations, career links, hiring status, and strategy notes.
Searchable by tier, category, or region.
Link in comments.
The quant finance landscape keeps expanding.
Most candidates see maybe 20–30 firms.
The market has many more.
AlgoTradingMap tracks 650+ firms across 11 categories: prop trading, HFT, market makers, exchanges, fintech, energy desks, crypto-native shops, and buy-side quant research.
Searchable by strategy, geography, and hiring status.
Link in comments.
#QuantFinance #AlgoTrading #HFT
The algo trading industry is one of the most opaque job markets in finance.
> Firms stay quiet by design.
> Job boards show a fraction of what's out there.
"Top HFT firms" lists are stale the day they're published.
>LinkedIn search returns noise.
>Compensation data is scattered across Blind threads and private chats.
Strong quants, developers, and traders lose months, sometimes years just figuring out who's hiring, who pays what, and who's worth talking to.
We built AlgoTradingMap to fix that.
Today the platform covers:
→ 650+ firms across HFT, market making, quant hedge funds, crypto, prop
→ 1,100+ recruiters who actually hire for these seats
→ 3,000+ live jobs with AlgoEstimate™ compensation data
One map of the industry.
Built for the people inside it.
We just crossed 3,000 live job listings on AlgoTradingMap.
Every single one now shows what the job actually pays.
Most firms don't publish salary on their own postings.
We fill that gap using AlgoEstimate, built from 25 years of real placements and verified salary data shared by people who work in the industry.
Here's why this matters.
Two jobs with the same title at two different firms can pay completely different money.
Same role, same years of experience, sometimes a 50% gap in what you take home.
Until now, the only people who knew this were a handful of senior recruiters.
Candidates found out after they signed, when a friend at another firm mentioned their number over drinks.
By then it's too late.
You've already accepted.
Now the number is on the job posting, before you apply.
You decide whether the offer is worth your time before you spend three weeks on interviews.
See the live listings with real comp ranges. Link in the comments.
#QuantFinance #AlgoTradingMap
Three years into quant finance and still don't know if you're paid fairly?
You're not supposed to know.
That's the whole design.
Comp conversations in this industry happen in private.
Colleagues don't share numbers.
Offer letters have NDAs.
"Competitive salary" means whatever the firm decides it means that quarter.
The information exists. It's just not visible to you, it's visible to the people hiring you.
AlgoEstimate™ on https://t.co/NhuzVeAbVX is built on 25+ years of verified offer data, bonus structures, and recruiter intelligence across the quant finance industry.
It's not Glassdoor.
It's not self-reported surveys.
It's what actually gets paid, by firm, by role.
If you're in quant finance, this is the page to follow.
#QuantFinance #CareerIntelligence #AlgoTradingMap
The salary black box is over.
For 30 years, hedge funds and quant firms have controlled one thing above everything else:
Information.
They knew what the role paid.
You didn't.
That gap cost candidates millions.
We just closed it.
AlgoEstimate™ is live on https://t.co/NhuzVeAbVX.
3,000+ quant finance job listings.
Every one with a verified compensation range.
Citadel. Two Sigma. Jane Street. DE Shaw. Renaissance.
Real salaries.
Real bonus structures.
25 years of recruiter intelligence distilled into a number you can actually use.
The firms have always had the data.
Now you do too.
#QuantFinance #SalaryTransparency #HedgeFunds
80% of job postings in finance still don't show salary.
Not because the number doesn't exist.
Because the information gap is a negotiating tool and employers know it.
I've seen this up close for 25 years in quant finance recruiting.
Brilliant people.
Wrong number.
Not because they negotiated badly, because they had no baseline.
No data isn't a neutral starting point. It's a starting point that favors one side.
That's why every one of the 3,000+ listings on AlgoTradingMap now shows expected compensation, built from verified records, bonus structures, and two decades of recruiter intelligence.
Before you apply, you know what to expect.
The best career conversations I've ever had weren't in boardrooms.
They were with people who had no agenda, who'd seen enough that they could be completely honest. Who asked the question you'd been avoiding. Who said "I've seen this go wrong before, and here's what it looked like."
That's what Advisory Pod is designed to be, for both sides of the table.
For founders: a small group of experienced people who stay close enough to your business to be genuinely useful, not just impressive on paper.
For senior professionals: a way to stay engaged with challenging problems, on your own terms, with people who actually need what you know.
We've been doing executive search for 25 years.
Advisory Pod is what we built when we realized the real value wasn't just in the placement, it was in getting the right people in the room together.
We're building a network of senior professionals who want to engage differently.
Not full-time.
Not one-off speaking gigs.
Something in between, ongoing, flexible, and genuinely useful to the founders they work with.
The people who thrive in this format tend to have a few things in common:
They've operated at a senior level in crypto, fintech, trading, or tech.
They're comfortable being direct, even when it's not what someone wants to hear.
They're curious about what's being built right now.
And they'd rather spend a few hours a week on a real problem than nothing at all.
If that sounds like you, we'd like to meet you.
We'll explain what the engagements look like, what kind of founders we work with, and whether there's a fit.
Most companies think executive search is about finding candidates.
It’s not.
The real challenge is defining the problem the leader needs to solve.
Before starting a search, strong hiring teams ask:
• What must this leader achieve in 12–18 months?
• What leadership gap exists today?
• What type of operator fits this stage of the company?
Because the best hires aren’t just impressive profiles.
They are solutions to specific business problems.