Finance · 14 min read · ~29 min study · advanced

IMC Trading

Market making, technology, careers, interviews, salaries at this Amsterdam-based prop trading firm.

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IMC Trading: Careers, Culture & Interview Guide 2026

A complete guide to IMC Trading - their market making operations, technology, career opportunities, interview process, and salaries at this Amsterdam-based proprietary trading firm.

What Is IMC Trading?

IMC Trading is one of the world's oldest and largest electronic market making firms. Founded in 1989 on the Amsterdam options exchange floor, the firm has grown from a small group of Dutch options traders into a global operation with over 1,000 employees across offices in Amsterdam, Chicago, Sydney, and Mumbai. In 2026, IMC remains one of the most respected names in proprietary trading.

The firm was originally known as IMC Financial Markets, though it now trades simply as IMC Trading. Its roots in options market making on the physical trading floor give it a heritage that few competitors can match - Optiver (founded 1986) is one of the only Amsterdam-based firms with a longer history.

What sets IMC apart from many prop firms is its combination of serious technology investment, a genuinely flat organizational structure, and an unusual commitment to philanthropy through the IMC Foundation. It's a firm that competes with the biggest names in the industry while maintaining a culture that former employees consistently describe as collaborative and down-to-earth.

If you're exploring the broader prop trading world, our guide to proprietary trading firms covers the full spectrum of firms and how they compare.

What Does IMC Do?

IMC is a market maker. It provides liquidity across global financial markets by continuously quoting buy and sell prices for a wide range of instruments - including options, futures, ETFs, bonds, and equities. The firm operates on more than 100 exchanges worldwide, making it one of the most broadly connected market participants in the industry.

Market making at IMC's scale requires pricing millions of instruments simultaneously, managing risk across correlated positions, and executing trades in microseconds. The firm earns revenue from the bid-ask spread - the small difference between the price it's willing to buy and the price it's willing to sell. Done well across massive volumes, those small differences add up quickly.

IMC's product coverage is notably broad. While many market makers specialize in one or two asset classes, IMC trades across:

Options - their historical strength, spanning equity and index options globally
ETFs - a significant business line, creating and redeeming ETF shares to keep prices aligned with underlying assets
Futures - across equity indices, commodities, and fixed income
Bonds - government and corporate fixed income markets
Equities - cash equity trading across major exchanges

This breadth means IMC employees get exposure to multiple asset classes and trading strategies, which is attractive for people early in their careers who want a wide view of the markets. For more on how market making and other quant trading strategies work, we've written a dedicated guide.

IMC's Technology and Culture

IMC is a technology company that happens to trade financial markets. That's not marketing fluff - the firm's competitive advantage depends on the speed, reliability, and sophistication of its systems. Around half of IMC's employees work in technology roles, building and maintaining the infrastructure that supports global market making.

Technology at IMC

The technology stack covers everything from ultra-low-latency execution systems to large-scale data pipelines and research platforms. IMC's engineers work on:

Trading systems - low-latency execution engines that process market data and send orders in microseconds
Pricing models - quantitative models that calculate fair values for thousands of instruments in real time
Risk management - systems that monitor and manage portfolio risk across all positions globally
Data infrastructure - pipelines that collect, clean, and store massive volumes of market data for research
Hardware engineering - FPGA development and network optimization for latency-sensitive components

The firm uses a mix of C++, Python, Java, and hardware description languages depending on the domain. Performance-critical paths are typically C++ or FPGA-based, while research and analytics lean toward Python.

Culture

IMC's culture is one of its most discussed attributes in the prop trading world. The firm maintains a flat hierarchy where junior employees are expected to contribute ideas from day one. There's no rigid chain of command - a graduate trader can question a senior researcher's model if they have a good reason to.

The social culture is strong. IMC invests in team events, has a well-known annual ski trip, and generally prioritizes a collaborative working environment. This isn't unique among Amsterdam prop firms - Optiver and Flow Traders also emphasize social culture - but IMC's reputation in this area is consistently positive.

The IMC Foundation

One genuinely distinctive element is the IMC Foundation, the firm's charitable arm. IMC donates a meaningful percentage of its profits to education and social causes, with a particular focus on improving access to education for disadvantaged communities. Employees are encouraged to participate in Foundation activities, and the firm runs volunteer programs alongside its charitable giving.

This matters for recruitment. Many candidates - particularly those choosing between firms with similar compensation - cite IMC's philanthropic commitment as a genuine differentiator.

Careers at IMC Trading

IMC hires across four primary tracks, each with distinct skill requirements and interview processes. Understanding which track suits you is important before applying.

Trader

IMC traders are responsible for managing risk and making pricing decisions in real time. They work closely with researchers and technologists to understand the models that drive the firm's strategies, but their core job is decision-making under uncertainty - adjusting positions, interpreting market signals, and managing the P&L of their book.

You don't need a finance degree. IMC hires traders from mathematics, physics, engineering, economics, and computer science backgrounds. What matters is quantitative reasoning, composure under pressure, and the ability to think probabilistically. Our quant trader career guide covers what the day-to-day looks like in more detail.

Quantitative Researcher

Quant researchers at IMC build and improve the mathematical models that underpin the firm's trading. This includes developing pricing models, identifying new trading signals, conducting statistical analysis, and backtesting strategies against historical data.

The role typically requires strong mathematical foundations - probability theory, statistics, stochastic calculus, and optimization. A master's or PhD in a quantitative discipline is common but not strictly required if you can demonstrate equivalent ability. If you're considering this path, our guide to becoming a quant outlines the academic preparation you'll need.

Software Engineer

Software engineers at IMC build the systems that make everything else possible. This ranges from low-latency trading infrastructure to internal tools, data platforms, and monitoring systems. The work is closer to systems engineering than typical web development - performance, reliability, and correctness are non-negotiable.

Strong C++ is highly valued, along with experience in systems programming, networking, or distributed systems. Python proficiency is expected for scripting and tooling. IMC also has a growing need for engineers who understand cloud infrastructure and large-scale data processing.

Hardware Engineer

Hardware engineers work on FPGA-based trading systems and network infrastructure. This is a specialized track focused on achieving the lowest possible latency through custom hardware solutions. You'll work with VHDL or Verilog and need a strong understanding of digital logic design.

This role is less commonly advertised but critically important. For anyone with an electrical engineering or computer architecture background interested in trading, it's an unusual and well-compensated career path.

IMC Trading Salary and Compensation

IMC's compensation is competitive with the top Amsterdam-based prop firms and broadly comparable to Optiver and Flow Traders. The firm pays a base salary plus a performance-linked bonus, with total compensation increasing significantly with experience and performance.

Amsterdam Office

Level	Trader (Total Comp)	Software Engineer (Total Comp)	Quant Researcher (Total Comp)
Graduate (0-2 years)	€80,000 - €140,000	€70,000 - €120,000	€75,000 - €130,000
Mid-level (3-5 years)	€150,000 - €350,000	€120,000 - €280,000	€130,000 - €300,000
Senior (6+ years)	€300,000 - €700,000+	€250,000 - €500,000+	€280,000 - €600,000+

Chicago and Sydney Offices

US compensation tends to run higher in absolute terms, reflecting both the cost of living and the competitive dynamics of the American market. Chicago-based traders and engineers at IMC can expect total compensation roughly 20-30% above equivalent Amsterdam figures. Sydney sits somewhere between the two.

Level	Trader - Chicago (Total Comp, USD)	Software Engineer - Chicago (Total Comp, USD)
Graduate (0-2 years)	$150,000 - $220,000	$140,000 - $190,000
Mid-level (3-5 years)	$250,000 - $550,000	$200,000 - $450,000
Senior (6+ years)	$500,000 - $1,000,000+	$400,000 - $800,000+

These figures represent total compensation including base salary, annual bonus, and any signing bonuses. Actual numbers vary based on individual performance and the firm's overall profitability. In strong trading years, bonuses can significantly exceed these ranges.

It's also worth knowing that IMC's Amsterdam salaries benefit from the Dutch 30% ruling, which exempts 30% of gross salary from income tax for qualifying international employees during their first five years. This can make Amsterdam compensation considerably more attractive on a net basis than the headline figures suggest.

The IMC Interview Process

IMC's interview process is structured and thorough, typically running 4 to 6 weeks from application to offer. The process differs somewhat by role, but the general pipeline follows a consistent pattern.

Stage 1 - Online Assessment (Week 1) After submitting your application, you'll receive an online test featuring mathematical and logical reasoning questions. For trading and research roles, expect probability, mental arithmetic, and pattern recognition. For engineering roles, expect algorithmic and coding challenges alongside the numerical reasoning. The time pressure is real - you need both speed and accuracy.

Stage 2 - First-Round Interview (Week 2-3) A 45 to 60 minute video call with one or two IMC team members. For traders and researchers, this round focuses on probability, statistics, and mental maths. You'll work through problems in real time and be assessed on your thought process as much as your answers. For engineers, expect data structures, algorithms, and systems design questions.

Stage 3 - Trading Simulation or Technical Deep Session (Week 3-4) Trading candidates will participate in a simulated trading exercise. This might be a card-based game, a mock market making scenario, or IMC's own trading simulation platform. The firm watches how you update your beliefs with new information, manage risk, and interact with other participants.

Engineering candidates face more intensive technical interviews at this stage - pair programming, system design, and questions about performance optimization.

Stage 4 - Final Day (Week 4-6) An in-person day at one of IMC's offices (typically Amsterdam or Chicago). This includes multiple interviews with traders, researchers, and engineers across the firm. Expect a mix of technical questions, behavioral assessment, and often another trading game. You'll also get a chance to meet the team and ask questions about the working environment.

IMC tends to communicate decisions quickly. Offers usually come within a week of the final round.

How to Prepare for an IMC Interview

Preparation for IMC overlaps significantly with preparation for other Amsterdam prop firms like Optiver and Flow Traders, but there are specific areas to focus on.

Mental Arithmetic (Start 4-6 Weeks Before)

Speed arithmetic is tested early in the process and throughout. Practice daily with tools like Zetamac, aiming for 70+ correct answers in 8 minutes. Focus on:

Multiplication of two-digit numbers (e.g., 47 x 36)
Quick division and factorisation
Percentage calculations and decimal arithmetic
Estimation and rounding techniques for speed

Probability and Expected Value (3-4 Weeks Before)

IMC interviews heavily test probabilistic thinking. Work through classic problems covering Bayes' theorem, conditional probability, expected value calculations, and combinatorics. Our quant interview questions guide has a curated set of the most commonly asked problems across top firms.

Key topics to master:

Conditional probability and Bayes' rule
Expected value and variance
The Monty Hall problem and its variants
Dice, coin, and card probability questions
Optimal stopping problems

Market Making Intuition (2-3 Weeks Before)

Understand how market makers think about pricing, spreads, and inventory risk. You should be able to:

Make a market on any uncertain quantity (e.g., "How many windows are in this building?")
Explain how you'd adjust your bid and ask based on flow
Discuss why market makers widen spreads during volatile periods
Describe the concept of adverse selection

Our high-frequency trading guide covers the mechanics of electronic market making, which is directly relevant to IMC's business.

The IMC Prosperity Trading Challenge

IMC runs a well-known annual trading competition called IMC Prosperity (sometimes referred to as the IMC Trading Challenge). This is both a recruitment tool and a way to build the firm's brand among university students. Participating in Prosperity gives you direct exposure to market making concepts in a competitive environment, and strong performers are often fast-tracked into the interview process.

If you're considering applying to IMC, participating in Prosperity is one of the best ways to stand out. Even if you don't win, the experience of building trading algorithms and competing against other students is excellent preparation for the interview.

Coding Preparation (Engineering Roles)

Software engineering candidates should prepare for:

Algorithmic problems in C++ or Python (LeetCode medium to hard difficulty)
System design questions focused on low-latency, high-throughput systems
Questions about memory management, concurrency, and networking
Data structures appropriate for order book implementation

IMC vs Other Amsterdam Prop Firms

Amsterdam is home to several of the world's top proprietary trading firms. If you're considering IMC, you're likely also looking at Optiver, Flow Traders, and possibly DRW or All Options. Here's how they compare in 2026.

	IMC Trading	Optiver	Flow Traders	DRW (Amsterdam)	All Options
Founded	1989	1986	2004	1992	2005
HQ	Amsterdam	Amsterdam	Amsterdam	Chicago (Amsterdam office)	Amsterdam
Employees (approx)	1,000+	1,800+	600+	1,500+ (global)	100+
Primary focus	Options, ETFs, futures, bonds	Options, derivatives	ETPs, ETFs	Options, crypto, futures	Options market making
Global offices	Amsterdam, Chicago, Sydney, Mumbai	Amsterdam, Chicago, Sydney, New York, Shanghai	Amsterdam, New York, Singapore, New York	Chicago, New York, Amsterdam, Singapore	Amsterdam
Interview difficulty	4/5	4/5	4/5	4/5	3/5
Graduate compensation (approx, Amsterdam)	€80K - €140K	€80K - €150K	€75K - €130K	€80K - €140K	€60K - €100K
Known for	Philanthropy, flat culture, Prosperity competition	Mental maths test, training program	ETP specializm, publicly listed	Crypto trading, secrecy	Boutique options focus

How to Choose Between Them

Choose IMC if you value a strong social culture, want broad asset class exposure, and are drawn to the firm's charitable mission. IMC's flat structure means you'll get responsibility early and have the freedom to explore different areas of the business.

Choose Optiver if you want arguably the best structured training program in the industry and are comfortable with a slightly more formal culture. Optiver's reputation for developing junior talent is hard to beat.

Choose Flow Traders if you're specifically interested in ETFs and exchange-traded products. Flow Traders is the market leader in this space and being publicly listed gives you unusual transparency into the firm's performance.

Choose DRW if you're interested in cryptocurrency trading alongside traditional markets, or prefer a firm with a strong US headquarters and an Amsterdam satellite.

All of these firms pay well and offer strong career development. The differences are more about culture, product focus, and personal preference than a clear hierarchy.

IMC's Graduate Program

IMC runs a structured graduate program designed to take new hires from university-level knowledge to productive market participants within their first year. The program is one of IMC's key selling points for early-career candidates, and the firm invests significant resources in getting it right.

What to Expect in Year One

Weeks 1-4 - Foundation Training All graduate hires - traders, researchers, and engineers - go through an initial training period together. This covers the fundamentals of market making, IMC's product landscape, risk management principles, and an introduction to the firm's technology stack. This shared experience builds cross-functional relationships that last throughout your career.

Months 2-4 - Role-Specific Training After the foundation period, you'll move into training tailored to your specific role. Traders learn pricing theory, options Greeks, and begin simulated trading. Researchers start working with the firm's data and modeling tools. Engineers begin contributing to real codebases under close mentorship.

Months 5-8 - Supervised Production You'll start working on live markets under supervision. For traders, this means managing small positions with direct oversight from a senior trader. For researchers, you'll contribute to active research projects. Engineers will ship code to production systems with code review and testing support.

Months 9-12 - Increasing Autonomy By the end of your first year, you'll be operating with significantly more independence. You won't be fully autonomous - that takes longer - but you'll be making meaningful contributions and beginning to develop your own areas of expertise.

What Makes IMC's Program Different

Compared to bank graduate programs, IMC's training is shorter and more intensive. There are no six-month rotations through departments you don't care about. You're learning and contributing to the actual business from the start.

The collaborative culture also means you'll learn informally from colleagues across the firm. IMC encourages people to ask questions, challenge assumptions, and share knowledge openly. This peer learning is often as valuable as the formal training.

Frequently Asked Questions

Is IMC Trading a good place to start your career?

Yes. IMC is widely considered one of the best firms for early-career professionals in quantitative trading. The structured graduate program, flat hierarchy, and collaborative culture all support rapid development. You'll get exposure to multiple asset classes and work alongside experienced traders, researchers, and engineers from day one. The firm's investment in training is genuine, and the skills you develop are highly transferable across the prop trading industry.

How hard is the IMC Trading interview?

The IMC interview is challenging but less narrowly focused than some competitors. Unlike Optiver, which opens with a famously brutal mental arithmetic test, IMC's process balances mathematical reasoning, probability, market making intuition, and cultural fit more evenly. That said, the mathematical component is still demanding. You should expect probability puzzles, mental maths under time pressure, and a trading simulation that tests real-time decision-making. Most successful candidates report 4 to 6 weeks of focused preparation. Our quant interview questions guide covers the types of problems you'll encounter.

What is the IMC Prosperity trading competition?

IMC Prosperity is an annual online trading competition run by IMC to engage university students interested in quantitative trading. Participants build algorithms to trade in a simulated market environment, competing against thousands of other students globally. The competition runs over multiple rounds and tests both market making and directional trading skills. Strong performers are often invited to interview at IMC directly. It's one of the best-known trading competitions in the industry and an excellent way to build relevant experience even if you don't ultimately join IMC.

Does IMC Trading hire internationally?

Yes. IMC actively recruits from universities across Europe, the US, Asia, and Australia for all of its office locations. The Amsterdam office in particular has a very international workforce, with employees from dozens of countries. IMC provides visa sponsorship for qualifying candidates, and the Dutch 30% tax ruling makes Amsterdam financially attractive for international hires. The firm recruits heavily from top European universities (ETH Zurich, Stanford, MIT, TU Delft, MIT) as well as leading US and Asian institutions.

How does IMC compare to Jane Street or Citadel Securities?

IMC, Jane Street, and Citadel Securities are all top-tier market making firms, but they differ in scale, culture, and focus. Jane Street is larger (around 2,500 employees), pays at the top of the market, uses OCaml as its primary language, and has a reputation for extremely difficult interviews with deep probability focus. Citadel Securities is the largest by trading volume, has a more intense and competitive culture, and pays aggressively. IMC is smaller and has a more relaxed, social culture while remaining highly competitive on compensation - especially when the 30% ruling is factored in. If culture and work-life balance are important to you alongside strong pay, IMC is worth serious consideration. For a broader comparison, see our prop trading firms guide.

What qualifications do I need to apply to IMC?

IMC doesn't require a specific degree, but the vast majority of hires come from quantitative backgrounds - mathematics, physics, computer science, engineering, or economics with a strong quantitative component. A bachelor's degree is the minimum for most roles, though many successful applicants hold a master's or PhD. What matters more than the specific qualification is demonstrated quantitative ability: strong grades in mathematical modules, competition results, relevant projects, or research experience. For trading roles, an interest in markets and probability is essential. For engineering roles, practical programming experience and systems knowledge are key.

Want to go deeper on IMC Trading: Careers, Culture & Interview Guide 2026?

This article covers the essentials, but there's a lot more to learn. Inside , you'll find hands-on coding exercises, interactive quizzes, and structured lessons that take you from fundamentals to production-ready skills — across 50+ courses in technology, finance, and mathematics.

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What You Will Learn

Explain what is pn0 trading.
Build what does pn0 do.
Calibrate pn0's technology and culture.
Compute careers at pn0 trading.
Design pn0 trading salary and compensation.
Implement the pn0 interview process.

Prerequisites

Derivatives intuition — see Derivatives intuition.
Options Greeks — see Options Greeks.
Comfort reading code and basic statistical notation.
Curiosity about how the topic shows up in a US trading firm.

Mental Model

Markets are auctions for risk. Every product, model, and strategy in this section is a way of pricing or transferring some piece of risk between counterparties — and US markets give you the deepest, most regulated, most algorithmic version of that auction in the world. For IMC Trading, frame the topic as the piece that market making, technology, careers, interviews, salaries at this Amsterdam-based prop trading firm — and ask what would break if you removed it from the workflow.

Why This Matters in US Markets

US markets are the deepest, most algorithmic, most regulated capital markets in the world. The SEC, CFTC, FINRA, and Federal Reserve govern equities, options, futures, treasuries, and OTC derivatives. The big buy-side (Bridgewater, AQR, Citadel, Two Sigma, Renaissance) and the major sell-side (GS, MS, JPM, Citi, BofA) hire heavily against the material in this section.

In US markets, IMC Trading tends to surface during onboarding, code review, and the first incident a junior quant gets pulled into. Questions on this material recur in interviews at Citadel, Two Sigma, Jane Street, HRT, Jump, DRW, IMC, Optiver, and the major bulge-bracket banks.

Common Mistakes

Quoting risk-free rates without saying which curve (T-bill, OIS, fed funds futures).
Treating implied volatility as a forecast instead of a market-clearing quantity.
Using realized correlation as a hedge ratio without accounting for regime change.
Treating IMC Trading as a one-off topic rather than the foundation it becomes once you ship code.
Skipping the US-market context — copying European or Asian conventions and getting bitten by US tick sizes, settlement, or regulator expectations.
Optimizing for elegance instead of auditability; trading regulators care about reproducibility, not cleverness.
Confusing model output with reality — the tape is the source of truth, the model is a hypothesis.

Practice Questions

Compute the delta of an at-the-money call on SPY with one month to expiry under Black-Scholes (σ=18%, r=5%).
Why does the implied volatility surface for SPX exhibit a skew rather than a flat smile?
Define the Sharpe ratio and explain why it is annualized.
Why does delta-hedging a sold straddle on SPY produce P&L proportional to realized minus implied variance?
What does a 100 bps move in the 10-year Treasury yield typically do to a 30-year fixed-rate mortgage rate?

Answers and Explanations

Δ = N(d1) where d1 = (ln(S/K) + (r + σ²/2)T) / (σ√T). With S=K, T=1/12, σ=0.18, r=0.05: d1 ≈ (0 + (0.05 + 0.0162)·0.0833) / (0.18·0.2887) ≈ 0.106; N(0.106) ≈ 0.542. Delta ≈ 0.54.
Because investors pay a premium for downside protection (left tail) and equity returns are negatively correlated with volatility; out-of-the-money puts therefore trade rich relative to OTM calls.
Sharpe = (excess return) / (volatility). Annualization (multiply by √252 for daily returns) puts strategies of different frequencies on comparable footing — a key requirement for comparing US asset managers.
Because the hedger captures gamma·dS² over time; integrating gives Σ gamma·(dS)², and theta paid over the life is set by implied variance. Net P&L tracks σ_realized² − σ_implied² scaled by gamma exposure.
Roughly 75-100 bps move the same direction; mortgages are priced off the 10y plus a spread that includes prepayment risk and originator margin, which both move with rates.

Glossary

Delta — first derivative of option price with respect to underlying.
Gamma — second derivative; rate of change of delta.
Vega — sensitivity of option price to implied volatility.
Theta — time decay; daily P&L from holding the option as expiry approaches.
Implied volatility — the σ that, when plugged into Black-Scholes, recovers the market price.
Skew — variation of implied volatility across strikes.
Spread — the difference between two prices; a yield curve, an option spread, or a cross-instrument arb.
Sharpe ratio — annualized excess return divided by annualized volatility; the standard performance metric in US asset management.

Further Study Path

Understanding Financial Markets — Equity, fixed income, FX, derivatives — how markets actually work and where quants fit in.
Time Value of Money — Present value, future value, discounting, NPV — the concept that underpins all of finance.
Bonds and Fixed Income — Pricing, yield to maturity, duration, convexity — the fixed-income concepts behind interest-rate modeling.
Python for Quant Finance: Fundamentals — Variables, functions, data structures, classes, and error handling — the core Python every quant role expects.
Advanced Python for Financial Applications — Decorators, generators, and context managers — the patterns that separate beginner Python from production quant code.

Key Learning Outcomes

Explain what is pn0 trading.
Apply what does pn0 do.
Recognize pn0's technology and culture.
Describe careers at pn0 trading.
Walk through pn0 trading salary and compensation.
Identify the pn0 interview process.
Articulate how to prepare for an pn0 interview.
Trace firms as it applies to pn0 trading.
Map pn0 as it applies to pn0 trading.
Pinpoint how pn0 trading surfaces at Citadel, Two Sigma, Jane Street, or HRT.
Explain the US regulatory framing — SEC, CFTC, FINRA — relevant to pn0 trading.
Apply a single-paragraph elevator pitch for pn0 trading suitable for an interviewer.
Recognize one common production failure mode of the techniques in pn0 trading.
Describe when pn0 trading is the wrong tool and what to use instead.
Walk through how pn0 trading interacts with the order management and risk gates in a US trading stack.
Identify a back-of-the-envelope sanity check that proves your implementation of pn0 trading is roughly right.
Articulate which US firms publicly hire against the skills covered in pn0 trading.
Trace a follow-up topic from this knowledge base that deepens pn0 trading.
Map how pn0 trading would appear on a phone screen or onsite interview at a US quant shop.
Pinpoint the day-one mistake a junior would make on pn0 trading and the senior's fix.