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Lucas JamarLJ

Lucas Jamar

Quant Developer

€500/day
Brussels, BE
0-2 years

Average response time: 1 hour

About Lucas

I’m a quantitative developer focused on cryptocurrency markets, specialising in building automated trading algorithms, execution systems, and scalable market-data pipelines. I’ve developed strategies such as funding-rate arbitrage, cross-exchange market making, and high-frequency reaction signals, alongside tooling for real-time monitoring, portfolio analytics, and multi-exchange data ingestion. My work is Python-driven, infrastructure-aware, and oriented toward turning complex crypto market structure into robust, production-ready trading logic. I move fast, work pragmatically, and deliver end-to-end solutions that directly support trading performance.
  • English

    Native or bilingual

  • French

    Native or bilingual

  • German

    Fluent

Can work on-site
Brussels (up to 50km)

Experience

  • Sigma Quantiphi
    Founder • Quant Developer
    DIGITAL AND IT
    January 2025 - Today (1 year and 5 months)
    • Developed & automated 6 algorithmic trading strategies, including: announcements reaction signals, funding-rate arbitrage, cross-exchange market making, & price-momentum execution.
    • Created Crypto-Pandas, a Pandas-native CCXT wrapper used to transform exchange REST/WebSocket data into clean DataFrames.
    • Built scalable data loaders ingesting 3GB+ daily of live market data (open interest, taker flow, liquidations, funding, long/short ratio, announcements, volatility, options trades).
    • Coordinated a team of 3 freelancers: marketing, software engineering, content.
    • Led the commercialization and sales of Crypto-Pandas-Pro.
    ccxt Crypto SQL polymarket Trading
  • Alpiq AG
    Algorithmic Power Trader
    May 2023 - December 2024 (1 year and 7 months)
    Olten, Switzerland
    • Development of 7 Trading Algorithms: Arbitrage, Market Making, Auction Bidding.
    • Development of Algorithmic Trading Tools: Python Packages, Position Monitoring, Alerts.
    Trading Pandas Streamlit Websocket AWS Fargate
  • Alpiq AG
    Data Analyst
    October 2020 - April 2023 (2 years and 6 months)
    Olten, Switzerland
    • Creation of self-service analysis tools for traders.
    • Real-time dashboards for portfolio and market monitoring.
    • Development of REST API for reserves bidding.
    Streamlit Plotly Pandas Dash AWS Fargate

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Education

  • MSc
    Eidgenössische Technische Hochschule
    2020
    MSc
  • BSc
    Ecole Polytechnique Fédérale
    2017
    BSc

Skill set

Categories

  • Other