Quantitative & Systematic Trading
Quantitative & Systematic Trading Recruitment & Executive Search
Specialist retained search across quantitative investment, systematic trading and data-driven financial markets.
Quantitative and systematic trading businesses build investment strategies around data, research, mathematical modelling, technology and repeatable decision-making frameworks.
The market spans hedge funds, proprietary trading firms, asset managers, market makers and specialist quantitative investment businesses operating across equities, futures, options, commodities, rates, FX and digital assets.
Imperium supports organisations hiring across quantitative research, systematic trading, portfolio management, data science, quantitative development and investment leadership.
The distinction between those roles matters. A systematic Portfolio Manager running medium-term futures strategies requires a very different background from a high-frequency researcher, options quant or machine-learning specialist developing signals across equity markets.
Our work across commodities, derivatives, proprietary trading and financial markets also gives us access to quantitative talent whose strategies intersect with energy, metals, agriculture, freight, futures and other specialist markets.
We therefore map searches around strategy, asset class, research methodology, holding period, data environment, technology and the level of responsibility somebody has held for capital or investment decisions.
The strongest quantitative hire is defined by the research and investment problem they have actually solved, not simply by the word “quant” in their title.
Understanding the Global Quantitative & Systematic Trading Market
Different strategies can use similar tools while solving very different investment problems.
Quantitative and systematic trading covers a broad range of investment approaches, from slower-moving macro and factor strategies through to high-frequency execution and electronic market making.
The common thread is a structured research process built around data, modelling, technology and repeatable decision-making.
Systematic Macro & CTA
Rules-based strategies trading futures, forwards and other liquid instruments across rates, currencies, commodities and equity indices.
Research often focuses on trend, carry, momentum, relative value and broader macro relationships across global markets.
Quantitative Equities
Data-driven investment across individual equities, baskets and portfolios using statistical, factor-based and machine-learning approaches.
Strategies can range from market neutral and long/short models through to broader systematic equity portfolios.
Statistical Arbitrage & Relative Value
Strategies designed to identify pricing relationships, temporary dislocations and repeatable patterns between related securities or markets.
These approaches can operate across equities, futures, options, rates, commodities and other highly liquid instruments.
Options, Volatility & Derivatives
Quantitative strategies built around volatility, derivatives pricing, relative value and the modelling of non-linear risk.
The talent market often overlaps with market makers, proprietary trading firms, banks and specialist derivatives businesses.
High-Frequency & Electronic Trading
Research and trading operating at very short horizons, where market microstructure, execution, latency and technology can be as important as the predictive signal itself.
These businesses often combine quantitative research closely with engineering and automated trading systems.
Machine Learning & Alternative Data
Investment research using large datasets, alternative information sources and increasingly sophisticated statistical or machine-learning techniques.
The value comes from turning data into signals that can survive implementation, transaction costs and changing market conditions.
The Research Horizon Changes the Talent Market
Two quantitative researchers may both work with Python, large datasets and statistical models while operating in completely different investment environments.
One may develop medium-term futures signals held for weeks. Another may model options volatility intraday. A third may research equity strategies where positions are opened and closed in milliseconds.
For search, the important distinctions are therefore strategy, holding period, asset class, data, research process, execution environment and responsibility for live capital.
Global Quantitative & Systematic Markets at Scale
Systematic strategies operate across some of the world’s deepest electronic and derivatives markets.
There is no single measure of the global quantitative-investment industry. Strategies sit across hedge funds, proprietary trading firms, asset managers, banks and market makers, and much of the capital deployed is privately reported.
The scale of the markets those strategies trade is considerably more visible. FX, rates, futures, options and other liquid derivatives provide enormous pools of electronic data, liquidity and risk for quantitative and systematic investors.
Turnover Across the Global FX Market
Average daily turnover in April 2025
| Instrument | Daily turnover | Share of FX market | Change vs 2022 |
|---|---|---|---|
| FX swaps | $4.0tn | 42% | +5% |
| Spot FX | $3.0tn | 31% | +42% |
| Outright forwards | $1.8tn | 19% | +60% |
| FX options | ~$0.7tn | 7% | More than doubled |
| Currency swaps | ~$0.2tn | ~2% | Broadly stable |
Global OTC foreign-exchange turnover reached $9.6 trillion per day in April 2025, up 28% from the previous BIS Triennial Survey in 2022.
Market Scale Is Only the Starting Point
Large, liquid markets create the environment in which many quantitative strategies operate, but market size alone says little about how a particular firm trades.
A systematic macro strategy may hold positions across futures and forwards for days or weeks. An options strategy may continuously model volatility and relative value. A high-frequency business can make thousands of decisions over much shorter horizons, where execution and market microstructure become part of the investment problem.
The talent market changes with those differences. Research horizon, data, turnover, execution, transaction costs, capacity and technology can all determine whether experience transfers successfully from one quantitative environment to another.
$7.9 Trillion
Interest-Rate Derivatives Per Day
OTC interest-rate derivatives averaged $7.9 trillion per day in April 2025, an increase of 59% from the 2022 BIS survey.
119.3 Billion
Listed Derivatives Contracts
Approximately 119.3 billion exchange-traded futures and options contracts changed hands globally during 2025.
61 Million
US Options Contracts Per Day
US listed options averaged approximately 61 million contracts per day in 2025, the sixth consecutive record year for the market.
Market context: Figures illustrate the scale of major liquid markets in which quantitative and systematic strategies operate. They represent total market activity and should not be interpreted as the proportion traded by quantitative investment firms.
Major Quantitative & Systematic Investment Firms
Research models differ substantially across the firms competing for quantitative talent.
Quantitative investment businesses are difficult to rank cleanly. Many are privately owned, assets are reported differently and some combine systematic strategies with discretionary investment, proprietary trading or broader multi-strategy businesses.
The firms below illustrate some of the established organisations competing globally for quantitative research, systematic trading, portfolio management, data and technology talent.
Major Firms Across Quantitative & Systematic Investment
| Firm | Investment model | Core market approach |
|---|---|---|
| Renaissance Technologies | Quantitative investment management | Data-driven quantitative trading across multiple funds |
| Two Sigma | Quantitative investment & trading | Scientific research, data and systematic investment |
| D. E. Shaw | Quantitative & multi-strategy investment | Systematic and discretionary strategies across global markets |
| AQR Capital Management | Quantitative investment management | Systematic equities, alternatives and multi-asset strategies |
| Man AHL | Systematic investment management | Trend, macro and diversified quantitative strategies |
| Winton | Quantitative investment management | Multi-strategy systematic investment across liquid markets |
| Qube Research & Technologies | Quantitative & systematic investment | Multi-strategy investing across asset classes and horizons |
| Aspect Capital | Systematic investment management | Systematic macro, trend and alternative investment strategies |
These businesses illustrate how broad the quantitative market has become, from firms built almost entirely around scientific and data-driven research to diversified investment managers operating systematic strategies alongside other approaches.
Market context: Companies are included as examples of significant participants in quantitative and systematic investment. The table is not presented as a ranking, and inclusion does not imply a commercial relationship with or endorsement of Imperium Commodity Search.
Quantitative Investment Managers
Renaissance Technologies
One of the best-established names in quantitative investing, with a research-intensive model built around mathematics, statistics, data and systematic portfolio management.
Two Sigma
A global quantitative investment and trading firm using scientific research, large-scale data analysis and proprietary technology to develop systematic investment strategies. Two Sigma
D. E. Shaw
A diversified investment business with deep roots in systematic investing, combining quantitative tools and data-driven research with strategies that also extend into fundamental and discretionary markets.
AQR Capital Management
A quantitative investment manager applying systematic research and economic theory across alternatives, equities and broader institutional investment strategies.
Systematic & Specialist Managers
Man AHL
One of the longest-established systematic investment managers, with research, trading and technology teams developing strategies across hundreds of global markets.
Winton
A quantitative investment manager researching and trading systematic strategies across major liquid asset classes, with an investment process centred on original research, statistical analysis and technology.
Qube Research & Technologies
A global multi-strategy investment manager combining data, quantitative research, technology and trading across geographies, asset classes and time horizons.
Aspect Capital
A specialist systematic investment manager with a long history in quantitative investing and research-led systematic investment programmes.
Market context: Categories are illustrative rather than exclusive. Quantitative investment firms frequently combine systematic research, portfolio management, trading, technology and multiple investment styles within the same organisation.
Systematic Does Not Mean Interchangeable
Two firms can both describe themselves as quantitative investors while building very different research organisations.
One may specialise in medium-term futures strategies. Another may run market-neutral equity models. Others combine systematic investing with discretionary portfolios, alternative data, machine learning or strategies operating at much shorter horizons.
For search, the useful comparison is therefore not simply whether somebody has worked at a recognised quantitative firm. We need to understand the research process, strategy, asset classes, holding period, data environment, technology and responsibility for live investment decisions behind their experience.
The Model Finds the Signal. The People Create the Edge.
Quantitative & Systematic Talent Across Global Markets
Quant talent follows investment style, research culture and the markets where models are put to work.
Quantitative careers do not cluster around one type of financial centre.
Some of the deepest talent pools have grown around systematic hedge funds and institutional managers. Others sit close to derivatives exchanges and electronic market makers, where market microstructure and execution are fundamental to the research. Asia has developed another substantial community around regional equities, futures and increasingly global systematic strategies.
That means geography becomes useful when we understand which quantitative ecosystem produced the person.
Systematic Investment & Portfolio Management
New York · Connecticut · London · Boston
A large share of institutional systematic-investment talent sits around major hedge fund and asset-management centres.
New York and Connecticut contain deep pools of quantitative Portfolio Managers, alpha researchers and multi-strategy investment teams. London brings systematic macro, CTA, quantitative equities and cross-asset research together with one of the world’s largest hedge-fund communities, while Boston adds a strong institutional and quantitative asset-management base.
Careers here are often built around research becoming portfolio decisions: signal development, portfolio construction, capital allocation and responsibility for live systematic strategies.
Electronic Trading & Market Microstructure
Chicago · Amsterdam · Singapore · Sydney
A different talent market develops around exchanges, market makers and proprietary trading firms.
Chicago’s derivatives heritage supports deep expertise in futures, options and electronic execution. Amsterdam has become particularly associated with quantitative market making and liquidity provision, while Singapore and Sydney support substantial communities across electronic trading, derivatives and systematic strategies.
Researchers in these environments can work at much shorter horizons, where order books, execution, latency, transaction costs and market behaviour are part of the research problem rather than simply implementation details.
Quant Research Across Asian & Global Markets
Hong Kong · Tokyo · Singapore · Paris · Zurich
Not every quantitative career develops inside the largest US and UK fund centres.
Hong Kong and Tokyo support specialist research across Asian equities, derivatives and regional systematic markets. Singapore increasingly combines Asian-market knowledge with global futures and multi-asset strategies. Paris has a strong mathematical and financial-engineering tradition, while Zurich adds quantitative investment, risk and institutional research expertise.
These locations can be particularly relevant when a mandate requires regional datasets, local market structure, specialised academic backgrounds or research experience outside the conventional US hedge-fund pool.
The Research Environment Leaves a Mark
Where somebody has worked often tells us something about the problems they have spent their career solving.
A researcher developed inside a Chicago options market maker may think about data, time horizons and execution very differently from a systematic macro researcher in London or a quantitative equity specialist covering Asian markets from Hong Kong.
Neither is inherently stronger.
The search depends on which environment is closest to the strategy, research horizon, implementation challenge and investment responsibility behind the mandate.
Who We Search for Across Quantitative & Systematic Trading
Research, investment, data and technology talent behind systematic strategies.
“Quant” covers an unusually broad range of careers.
Two researchers may use similar programming languages and statistical techniques while working on strategies with completely different holding periods, datasets, execution requirements and investment objectives.
Our searches therefore focus on what somebody has researched, how that work reached production and the investment responsibility sitting behind it.
Quantitative Research & Strategy
Quantitative researchers turn market hypotheses, data and statistical analysis into investment ideas that can be tested and implemented.
Relevant experience may come from finance, mathematics, statistics, physics, computer science or other research-intensive disciplines, but the practical application of that research to markets remains central.
Quantitative research searches include:
Quantitative Researcher · Senior Quantitative Researcher · Research Scientist · Quant Strategist · Alpha Researcher · Quant Analyst · Research Lead · Head of Quantitative Research
Systematic Trading & Portfolio Management
Systematic investment professionals are responsible for translating research into portfolios and managing live risk.
The role can range from an individual systematic trader through to a Portfolio Manager running significant capital across multiple strategies and markets.
Systematic investment roles include:
Systematic Trader · Quantitative Trader · Quantitative Portfolio Manager · Systematic Portfolio Manager · CTA Portfolio Manager · Systematic Macro Trader · Senior Portfolio Manager
Quant Development, Data & Machine Learning
Research quality increasingly depends on the infrastructure, datasets and computational tools available to investment teams.
Quant developers and data specialists can sit directly alongside researchers, turning models into production systems and building the platforms through which strategies are tested, monitored and improved.
Quantitative technology appointments include:
Quant Developer · Research Engineer · Machine Learning Researcher · Data Scientist · Data Engineer · Python Developer · Quantitative Software Engineer · Head of Quant Development
Quantitative Investment Leadership
Senior quantitative hires can carry responsibility for research direction, portfolio construction, capital allocation, team development and the broader investment architecture of the business.
At this level, technical credibility needs to sit alongside an understanding of how research becomes repeatable investment performance.
Senior quantitative searches include:
Chief Investment Officer · Head of Quantitative Investment · Head of Systematic Strategies · Head of Research · Head of Portfolio Management · Investment Director · Managing Director · C-Suite
The Research Process Matters More Than the Label
A strong academic background or recognised quantitative employer is useful context, but neither tells us enough on its own.
We look at research methodology, live strategy experience, holding period, assets traded, datasets used, implementation, portfolio responsibility and the relationship between somebody’s work and investment performance.
That is what determines whether quantitative experience is genuinely transferable between firms.
A Selective Approach to Quantitative & Systematic Search
Specialist research mandates require a precise view of the market.
A quantitative search can become highly specific once the underlying investment problem is understood.
A client may need a researcher with experience in alternative data, a systematic macro Portfolio Manager, a machine-learning specialist whose work has reached production or a senior quantitative investor capable of building an entire research function.
Imperium works on a retained basis and deliberately limits the number of clients we represent within specialist markets at one time.
That allows us to map the relevant quantitative firms, hedge funds, proprietary businesses and investment managers properly, approach passive talent confidentially and spend time understanding what somebody has actually researched, built and deployed.
The objective is not to produce the longest list of people with quantitative job titles.
It is to identify the people whose research and investment experience genuinely fits the problem the client is trying to solve.
For Clients
Looking for a quantitative researcher, systematic trader, Portfolio Manager, quant developer or senior investment leader?
We build the search around the strategy, research process, asset classes, holding period, data environment and responsibility for live capital that matter to the mandate.
For Professionals
We do not operate as a high-volume vacancy business.
If your background sits within quantitative research, systematic investment, portfolio management, machine learning, quantitative development or senior investment leadership, we are happy to have a confidential conversation where your experience may be relevant to current or future retained work.
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Hedge Funds · Proprietary Trading · Asset Management · Equities · Fixed Income & Credit · FX & Global Macro · Digital Assets & Crypto Markets · Commodity Derivatives
