Quantitative Investment Management

What Quantitative Investment Management does

Quantitative Investment Management (QIM) is a Charlottesville, Virginia-based quantitative investment management firm founded in 2003 by Jaffray Woodriff, Michael Geismar, and Greyson Williams. The firm applies proprietary machine learning models to forecast short- to medium-term movements across global financial markets and operates a single core product — the QIM Trading Programs — for institutional and qualified investors. QIM manages approximately $1.3B in assets under management with a ~40-person team and is privately held.

QIM's platform is built on proprietary machine learning architectures developed internally since the early 1990s, marketed by the firm as "trend-neutral" to differentiate from conventional trend-following CTAs. The firm describes continuous expansion of its ML pipeline and, in August 2025, integrated ProntoNLP — a third-party generative AI product — to enhance earnings analysis workflows, signaling an active posture toward incorporating modern AI tooling on top of its proprietary research stack. The technology base is the primary product surface; there is no separate SaaS or technology offering.

QIM's commercial model charges no base management fee, collecting only performance-based incentive fees on profits. This 0% management fee structure fully aligns firm economics with client outcomes and is unusual among CTAs and hedge funds, where 1-2% base fees are standard. Distribution is direct to institutional and qualified investors, and the firm files 13F disclosures (with positions such as Salesforce and British American Tobacco disclosed in Q3 2025) consistent with ongoing discretionary trading activity by the unified trading program.

Name

Quantitative Investment Management

Legal name

Quantitative Investment Management

Website

https://quantitative.com

Company type

Private

Founded year

2003

Operating status

Operating

Headcount range

11–50 employees

Short description

Quantitative Investment Management is a Charlottesville, Virginia-based quantitative investment firm that uses proprietary machine learning models to forecast global market movements and manages approximately $1.3B for institutional and qualified investors through a 0% management fee, performance-based fee structure.

Ownership category

akta.pro rank

Product category

Quantitative Investment Management

NAICS

Portfolio Management and Investment Advice (523940), Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523)

SIC

Investment Advice (6282)

akta.pro primary industry

Quant Equity Long/Short (Equity Stat Arb / Factor / ML) (FSAHAAAB)

Keywords

• Quantitative investment management
• Alternative investment strategies
• Machine learning trading
• Systematic hedge fund
• Managed futures programs

Headquarters

HQ city

Charlottesville

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Investment Management Fees: The firm operates with 0% management fee, indicating performance-based/incentive fee structure. QIM's returns are described as being tied to investor success - 'winning only when our investors win is immutable', suggesting an incentive fee model where the firm earns fees based on performance rather than assets under management.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Core offering

Quantitative Investment Management (QIM) operates as a quantitative hedge fund/CTA that runs proprietary machine-learning-driven trading programs designed to forecast market moves over short- to medium-term horizons. The firm's programs are built around trend-neutral quantitative models and are intended to deliver returns with little to no correlation to the S&P 500 (TR), while also producing positive returns in the majority of the index's down months. QIM serves institutional and qualified investors with a 0% management fee, performance-aligned fee structure.

Product overview

Quantitative Investment Management offers a single unified quantitative trading program that uses proprietary machine learning models to forecast market movements. The firm operates as a single-product quantitative hedge fund/CTA, with its trading programs designed to produce returns with little to no correlation to the S&P 500 while also producing positive returns in the majority of the index's down months.

Differentiator

Problem solved

Functional benefit

Products and services

• QIM Trading Programs A unified set of proprietary, machine-learning-driven quantitative trading programs that forecast short- to medium-term market moves using trend-neutral models. Designed for institutional and qualified investors seeking alternative investments with returns uncorrelated to the S&P 500. The firm charges a 0% management fee with a performance-based incentive structure.

Quantifiable outcome

• Little to no correlation to S&P 500 (Total Return)
• +1 more outcomes

Segments1 record

Ideal customer profiles1 record

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability2 records

Feature2 records

Partnerships

One partnership is on record.

• ProntoNLPcoreTechnology or Integration · 17 August 2025QIM utilizes ProntoNLP, a Generative AI tool, to analyze earnings call transcripts and filings for insights that improve investment decision-making. This AI-powered approach can identify key themes, sentiment, and inflection points efficiently, giving the firm a competitive edge in their quantitative investment process.

Scale indicators3 records

Recent moves4 records

Expansion highlights2 records

Direct peers

• Renaissance Technologies: The most prominent quantitative hedge fund, applying ML and statistical methods to systematic trading across global markets. Like QIM, Renaissance runs model-driven, short- to medium-horizon strategies that aim for uncorrelated returns; it is the gold-standard comparison for any quant CTA.
• Two Sigma: Quantitative investment firm using ML, distributed computing, and large alternative datasets to drive systematic trading strategies. Direct comparable to QIM on technology stack, ML-driven approach, and institutional LP base.
• D. E. Shaw & Co. Pioneering quantitative hedge fund combining computational finance with fundamental research across global markets. Comparable to QIM as a systematic, ML-augmented investment manager serving institutional investors.
• Citadel (Citadel Global Quantitative Strategies): Multi-strategy hedge fund with a large quantitative equities franchise that uses systematic, ML-driven models to forecast and trade global markets. Closely comparable to QIM on strategy type and institutional audience, though at vastly greater scale.
• AQR Capital Management: Large quantitative asset manager applying factor-based and systematic strategies across equities, fixed income, and alternatives. Comparable to QIM in its evidence-based, ML/stat-arb approach and in marketing uncorrelated, factor-driven returns to institutions.
• Millennium Management: Multi-strategy, multi-PM platform that hosts pods of systematic and quant traders. Relevant peer because its underlying pods compete for institutional capital with strategies architecturally similar to QIM's quantitative trading programs.
• Winton Group: Global systematic/CTA manager founded on the premise of trend-following and now increasingly ML-augmented strategies. Closely comparable to QIM on systematic-trading heritage, though Winton's roots are in trend-following where QIM explicitly differentiates as trend-neutral.
• Man Group (AHL): Publicly listed alternative asset manager whose AHL division runs large-scale systematic/CTA programs. Peer to QIM on systematic-trading category, institutional distribution, and ML-augmented research, with the additional context of being one of the few public comparables for industry economics.
• Aspect Capital: Diversified systematic/CTA manager applying scientific, research-driven methods across global markets. Comparable to QIM in size, systematic approach, and institutional client base, even though Aspect's strategies are more trend-following in nature.

Broad incumbents

• Bridgewater Associates: Largest global hedge fund running systematic macro strategies that produce returns uncorrelated to traditional equities. Comparable to QIM in targeting institutional LPs seeking diversified, systematic alpha, though at vastly greater scale and with a macro rather than short-horizon quant emphasis.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/quantitative-investment-management

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Quantitative Investment Management