Asset Manager

Updated:

Giant Steps Capital

Giant Steps Capital is a São Paulo-based quantitative hedge fund founded in 2012 that deploys deep learning models across global futures and equities.

Giant Steps Capital

Giant Steps Capital was established in 2012 in São Paulo by brothers Flavio and Marco Terni. The firm emerged from Brazil's nascent quantitative finance scene with a research-first culture modeled on Silicon Valley technology companies rather than traditional asset managers. The firm runs fully systematic strategies across liquid futures and equities, applying deep learning and reinforcement learning models to global markets. Asset classes traded include equity index futures, fixed-income futures, currencies and commodities. Positions span exchanges in the Americas, Europe and Asia. The core research process centers on a proprietary machine-learning infrastructure built in-house, with an engineering team led by CTO Otavio Furlan. Giant Steps has historically prioritized capacity-constrained, high-Sharpe strategies over asset gathering and does not offer long-only or fundamental discretionary products. Giant Steps maintains a presence in New York and San Francisco alongside its São Paulo headquarters, placing its research pipeline close to academic and technology talent pools. The leadership team combines quantitative finance expertise with deep technology execution. CFO Rafael Francio oversees non-investment operations. Recent public communications from the firm have emphasized the increasing role of alternative data and compute infrastructure as a competitive moat. In 2023, the São Paulo team expanded its engineering bench to support larger-scale model training for cross-asset strategies. The firm's structural distinction lies in being a Brazil-headquartered quantitative hedge fund that competes globally with systematic managers in New York and London, sourcing machine-learning talent from an ecosystem not historically associated with systematic hedge-fund management. Its fully automated, data-driven execution model contrasts with the fundamentally concentrated, macro-heavy peer set typical of Latin American asset managers.

General information

Firm type

Asset Manager

Year founded

2012

AUM

Undisclosed

Location

Region

Latin America

Country

Brazil

City

São Paulo

Corporate office

São Paulo, SP, Brazil

Additional offices

New York, NY, United States · San Francisco, CA, United States

Principals

Flavio Terni

Founding Partner

Marco Terni

Founding Partner and CEO

Rafael Francio

Chief Financial Officer

Otavio Furlan

Chief Technology Officer

Sector focus

AI/MLQuantitative Strategies

Frequently asked questions

Who runs investment decisions at Giant Steps Capital?

No single portfolio manager makes discretionary calls. Founding partners Flavio Terni and Marco Terni oversee a systematic, model-driven process where deep learning and reinforcement learning algorithms determine trade execution. The research and engineering teams, led by CTO Otavio Furlan, build and maintain the infrastructure that generates signals and manages risk.

How does Giant Steps Capital source its quantitative talent?

The firm recruits from top-tier Brazilian and international universities, prioritizing backgrounds in computer science, applied mathematics, and machine learning over traditional finance. With offices in New York and San Francisco alongside São Paulo, it accesses both the US technology labor market and Brazil's strong engineering pipeline.

Is Giant Steps Capital a family office or a hedge fund?

Giant Steps Capital operates as a quantitative hedge fund manager, not a family office. It manages external capital through systematic strategies. The founding Terni brothers built the firm as an independent asset management business from inception in 2012.

What markets and asset classes does Giant Steps trade?

The firm trades liquid futures and equities across global exchanges. Asset classes include equity index futures, fixed-income futures, currencies and commodities, with execution spanning markets in the Americas, Europe and Asia. The fully systematic approach does not extend to illiquid private markets.

Does Giant Steps offer fundamental or discretionary strategies?

No. All strategies are fully systematic, driven by machine-learning models with no fundamental analyst teams or discretionary macro overlay. The firm's public materials consistently frame its product set as pure quantitative, distinguishing it from the fundamental long-biased and macro managers that dominate Brazil's asset management industry.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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