About Us

About DataFrame Labs

We're building institutional-grade quantitative analytics for financial institutions who need precision without the legacy overhead.

Our Mission

Why We Exist

Quantitative analytics shouldn't be locked behind seven-figure vendor contracts and eighteen-month implementation timelines. We started DataFrame Labs because we saw too many sophisticated financial institutions stuck between two bad options: expensive legacy platforms or building everything in-house from scratch.

Our mission is to democratize the kind of quantitative infrastructure that was previously only available to the largest banks and hedge funds. We're building a firm that combines rigorous academic methodology with the speed and agility of a modern technology company.

We believe in transparency over black boxes. In documentation over hand-waving. In delivering working code that integrates with your existing systems rather than forcing you onto yet another platform.

What We Do

Three Pillars of Expertise

Quantitative Research

Custom research projects tailored to your specific investment questions. From model validation to novel strategy development.

  • Bespoke pricing models
  • Factor analysis and attribution
  • Model validation and audit

Data Products

Signals, datasets, and analytics delivered through modern APIs. Clean data, clear documentation, no vendor lock-in.

  • Proprietary signal libraries
  • Curated alternative datasets
  • Real-time analytics feeds

Analytical Tools

Software and platforms that integrate with your existing infrastructure. Built for quants, by quants.

  • Pricing engines and calculators
  • Risk management dashboards
  • Portfolio analytics platforms
Our Approach

How We Work

We're building DataFrame Labs on principles that matter to sophisticated financial practitioners: rigor, transparency, and practical utility.

Rigorous Methodology

Every model is grounded in sound mathematical foundations with clearly documented assumptions and limitations.

Modern Technology Stack

We use current tools and infrastructure: cloud-native, API-first, designed for seamless integration.

Client-Focused Delivery

We work collaboratively, adapting to your timeline, tech stack, and specific requirements.

Transparent and Explainable

No black boxes. Every model comes with full documentation, code, and mathematical derivations.

Who We Serve

Industries We Work With

Banks

Community and regional banks seeking sophisticated analytics without enterprise vendor overhead.

Asset Managers

Investment managers who need custom factor models and portfolio analytics.

Hedge Funds

Funds seeking an extension of their internal quant team for specialized projects.

Corporates

Treasury and finance teams needing FX hedging analysis and risk quantification.

FAQ

Frequently Asked Questions

We work with institutional clients including hedge funds, asset managers, banks, insurance companies, and pension funds. Our solutions are designed for organizations that require rigorous, data-driven quantitative analysis.
Most engagements start with a discovery call to understand your specific needs. From there, we often recommend a pilot project to demonstrate value before scaling to a full engagement.
Client data is treated with the highest level of confidentiality. We operate under strict NDAs, use secure infrastructure, and never share or commingle client data.
Both. Our data products provide standardized, high-quality datasets. For unique requirements, we offer custom research services tailored to your specific questions.
We deliver via API, web dashboards, or formatted reports depending on your needs. Our data products support common formats including JSON, CSV, and direct database integration.

Let's Work Together

Whether you have a specific research question, need ongoing quant support, or want to explore how we can help, we'd like to hear from you.

Get in Touch View Services