gatpier
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Luminous mathematical trajectories in a dark architectural research space

QUANTITATIVE FINANCE · ADVANCED COMPUTATION

Researching the systems
behind markets.

Mathematical models, scalable computation and machine learning for difficult questions in modern finance.

GATPIER / RESEARCH GROUP

RESEARCH FIRST

Rigorous ideas for
complex systems.

Gatpier works at the intersection of quantitative finance and advanced computational methods. We develop research frameworks for market analysis, risk management and derivatives pricing across equities, energy, precious metals and rates.

Computational paths branching through a research lattice01 / METHODS

OUR CAPABILITIES

Research that moves
from theory to compute.

We bring mathematical reasoning, software and scalable infrastructure into one research process.

Discuss a research question ↗

THE RESEARCH STACK

Four connected
disciplines.

01

Mathematical modeling

Formulating market structure, uncertainty and nonlinear relationships as testable research questions.

02

Automatic differentiation

Efficient sensitivities and automatic Greeks for derivatives pricing and risk analysis.

03

High-performance computing

Parallel and distributed methods for computationally demanding financial problems.

04

Machine & deep learning

Data-driven methods for complex signals, representations and market analysis.

Conceptual installation representing energy, metals and rates

MARKET FIELD OF VIEW

Across assets.
Across relationships.

EquitiesEnergyPrecious metalsRates & derivatives

EDUCATION

Build the skills
behind the models.

Focused learning paths in quantitative finance, Python, machine learning and networked systems.

View programmes
Modern quantitative research learning studio

HOW WE WORK

A disciplined path
from question to insight.

  1. 01Frame

    Define the question, assumptions and evidence.

  2. 02Model

    Translate structure into a mathematical formulation.

  3. 03Compute

    Apply scalable numerical and learning methods.

  4. 04Evaluate

    Test sensitivities, limitations and interpretation.

RESEARCH · EDUCATION · COLLABORATION

Bring us a difficult
question.

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