ANTOINE P

FULL STACK DEVELOPER

ALGO-TRADER

Tech Stack

Backend

Frontend

Trading APIs

DevOps & Tools

Turning ideas into robust web, SaaS, and trading solutions.

Full-Stack Developer and Quantitative Finance Specialist with expertise in Python, Django, React, Next.js, C++, and cloud technologies. Experienced in building scalable, user-focused platforms for finance and SaaS

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My Services

“I deliver robust, scalable software solutions — from backend systems and cloud infrastructure to advanced financial and data-driven tools.”

Data & Quant Engineering

→ ML models for trading algorithms and predictive analytics
→ Backtesting frameworks and risk management systems
→ High-performance Python libraries with C++ integration
→ Data pipelines and infrastructure (SQL, MongoDB, Redis)

Backend & API Development

→ Scalable Django backends with RESTful APIs
→ Cloud-Based SaaS architecture
→ Database optimization and intelligent caching strategies
→ Production AWS infrastructure (EC2, ALB, RDS, S3)

Product Interfaces & Dashboards

→ Data-heavy FrontEnds with React/Next.js
→ Financial visualizations, admin panels, and back-office systems
→ Clean UI design from Figma to production deployment
→ Real-time data display with charts and advanced filtering

Custom Systems & Performance Engineering

→ Bespoke automation and hybrid Python/C++ systems
→ Performance optimization for latency-critical applications
→ Custom tools and PoCs for complex requirements
→ Architecture refactoring for computationally intensive tasks

My XPs

“Market finance professional turned full-stack & quant developer for high-performance systems.”

Full Stack Developer

“I split my time between building scalable SaaS and trading tools as a Full-Stack Developer, and leading product and technology strategy as CTO at Analystock — delivering finance-grade analytics and robust web platforms.”

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CTO & Founder

@Analystock.ai On the Rise

AI-powered quantitative stock analysis & scoring
Data-driven insights for smarter investment decisions
Provide affordable professional grade equity research

TRY ANALYSTOCK.AI

Absolute Return PM

Société Générale 2022-2025

Managed €250M of discretionary mandates across 80 clients (equities, fixed income, FX and derivatives), and actively participated in the management of two €150M absolute return and multi-strategy funds.
Designed and implemented multi-asset absolute return strategies, including asset allocation, security selection, derivatives usage and hedging.
Conducted in-depth fundamental equity analysis and global macro/thematic research to generate diversified sources of alpha.
Oversaw portfolio risk management, including exposure monitoring, VaR, stress testing, drawdown control and adherence to investment guidelines.
Executed trades and managed portfolio rebalancing across asset classes, ensuring efficient implementation and operational accuracy.

Money Market/Treasury Trader

HSBC 2020-2021

Developed a Python-based trading infrastructure from scratch, including PnL computation, FX pricing, curve interpolation, and forward PnL estimation, enabling real-time desk analytics.
Led the migration of critical trading workflows from Excel to Python, increasing speed, accuracy, and scalability of the desk operations.
Supported macro-driven trading strategies by analyzing market trends and contributing to strategy implementation across FX and rates products.
Executed and booked trades accurately, ensuring smooth front-to-back operations and compliance with trading policies.
Monitored and reported market and balance sheet risks (VaR, PVBB), supporting risk-adjusted trading decisions.

Bridging Tech & Finance

“I hold dual Master's in Finance and Computational Finance, bridging markets and technology with full-stack engineering.”

Master Computer Science

Financial systems development and enterprise architecture
Quantitative modeling and algorithmic trading fundamentals
Advanced programming (Python, C++, Java) and database design (SQL, NoSQL)
Cloud infrastructure, data engineering and software architecture

Master Portfolio Management

Portfolio construction and asset allocation strategies
Risk-adjusted performance measurement and optimization
Equity and fixed income securities analysis
Financial modeling with Bloomberg Terminal and Excel VBA

My Projects

“Building robust, scalable software and financial tools — explore my work across full-stack, data, and fintech projects.”

Project Spec
Analystock.ai is an AI-driven financial platform designed to streamline market research through automated fundamental analysis and real-time sentiment tracking.
TechStack
Analystock.AI
Django Web app for AI-powered equity research
Project Spec
CodeMarketLabs is a platform built around algorithmic trading and financial software development — covering proprietary Python libraries, SaaS architecture, coding programs, and strategic consulting for those building seriously in the markets.
TechStack
CodeMarket Website
Quant trading ecosystem for traders and developers
Project Spec
quantkit covers the full pricing stack — stochastic models calibrated via FFT, a Black-Scholes Greeks engine, multi-leg portfolio management with interactive dashboards, and a rates toolkit spanning Nelson-Siegel, Hull-White, and Vasicek.
TechStack
QuantKit
Python library for quant analysts and derivatives traders
Project Spec
marketconnect-exec provides a unified interface to Deribit and Interactive Brokers — covering order management, positions, account data, market data, and derivatives analytics through a single, consistent API.
TechStack
MarketConnect Exec
Python library for quant traders and portfolio managers
Project Spec
equity-curve covers the full strategy analysis pipeline — 30+ risk and performance metrics, distributional statistics, econometric tests spanning stationarity, autocorrelation and cointegration, and interactive Plotly dashboards exportable to HTML or PNG with dark and light themes.
TechStack
Equity Curve
Python library for quantitative analysts and portfolio managers