Quantitative Investing 
Done Differently

~$32 Billion

Under Management1

20+ Years

Average Experience

Our Edge

Our proprietary process has delivered consistent returns across market cycles for over 20 years.

Stocks, Not Styles

Stocks, Not Styles


 

Bottom-up stock selection is designed to avoid overexposure to any one factor.

Balanced Exposures

Balanced Exposures

 

Proprietary definitions of value, growth, quality, and sentiment minimize the impact of style swings. 

Model-Driven, Human Touch

Model-Driven, Human Touch

 

Human analysis of all trades accounts for information that models may not capture.

Results

Our core, style-agnostic approach has delivered superior investment results across diverse market environments for decades.

Performance vs. Benchmark

 

We have delivered positive relative returns since inception and over trailing three-, five-, and 10-year periods for all strategies with sufficiently long track records.

Mar-31-2026  All values in USD unless otherwise specified  Performance Inception: Jan-01-2008

Performance for periods shorter than one year has not been annualized.

Performance is presented on both a gross of all fees and net of fees basis. The performance quoted represents past performance. Past performance is not a reliable indicator of future results. Additional information on the fees and expenses applied to obtain net performance returns can be accessed by referencing the GIPS compositeopens in a new tab.


How We Do It

Unlike quantitative approaches relying on off-the-shelf factors, we start with rigorous research to develop proprietary definitions of value, growth, quality, and sentiment.

Research

Hypothesis

Standard Testing


Simulation


Live PM Testing


Only the most robust ideas are tested and ranked.

90%

of ideas don't make it.

Integration into data model

Rank

Our Models Evaluate ~7,000+ Stocks 
to Capture Stock-Specific Insights

Lowest ranked

Highest ranked

Build

Our benchmark‑aware, core portfolios minimize style, size, geographic, and sector biases to help deliver consistent active returns. Seasoned managers continuously refine models and monitor stock‑specific risks.

For illustrative purposes only.

By using multi-dimensional risk models that seek to minimize macro risk, and focusing instead on more rewarding sources of returns, we seek to generate stable, active returns in different market environments.

Paul Moghtader, CFA
Portfolio Manager

Strategies

Team

The senior members of investment team have 24 years of average industry experience.

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Paul Moghtader, CFA

Managing Director

Industry: 33 years | Lazard: 17 years

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Kurt Livermore, CFA

Managing Director

Industry: 27 years | Lazard: 2 years

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Susanne Willumsen

Managing Director

Industry: 31 years | Lazard: 16 years

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Ciprian Marin

Managing Director

Industry: 27 years | Lazard: 16 years

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Taras Ivanenko, PhD, CFA

Director

Industry: 29 years | Lazard: 17 years

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Mauricio Karchmer

Director

Industry: 29 years | Lazard: 2 years

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Chris Pope

Director

Industry: 48 years | Lazard: 17 years

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Peter Kashanek

Director

Industry: 30 years | Lazard: 17 years

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Craig Scholl, CFA

Director

Industry: 40 years | Lazard: 17 years

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Alex Lai, CFA

Managing Director

Industry: 22 years | Lazard: 16 years

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Jason Williams, CFA

Director

Industry: 23 years | Lazard: 16 years