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Fabian RohloffFR

Fabian Rohloff

AI/ML Engineer | Quantitative Developer/Analyst

525 €/día
Barcelona, ES
8-15 años

Tiempo medio de respuesta: 1h

Acerca de Fabian

Fabian Rohloff, CFA, is an AI/ML Engineer, Quantitative Developer/Analyst, and Fintech Full-Stack Developer based in Barcelona with 10+ years of experience in investment banking, asset management, and fintech.

As CEO and Founder of QUINETICS (quinetics.net), he created an AI trading platform serving 1,000+ users. The platform features XGBoost prediction models, a React frontend, Flask backend, MySQL database, and GCP deployment. His wikifolio investment certificate has outperformed the MSCI World by over 20% in 1.5 years. QUINETICS includes tools like the Pension Game, Stock Trading Competition, and Derivative Simulator.

At Credit Suisse (2019-2022), he built global LTV methodologies for the Lombard business covering funds, hedge funds, and fixed income. He developed margin models for Private Bank derivatives and led desk-quant support for Front Office and Credit Risk Management. He also built an ML-based outlier detection algorithm.

At ING Bank (2016-2019), he worked on $2.6B+ project finance deals, managed EUR 1B+ commodity trade finance credit lines, and supported the launch of the Scalable Capital robo-advisor.

Technical expertise includes Python, TypeScript, SQL, React, Flask, FastAPI, XGBoost, TensorFlow, Azure ML, GCP, Databricks, and PySpark. Specializes in Black-Scholes pricing, Greeks, Monte Carlo simulations, LTV/margin models, and Kelly criterion strategies.

Education: CFA Charterholder (Top 10% Level III), MSc Finance from ESADE (9.03/10, Top 3), BSc Business Administration from WWU Munster.
  • Alemán

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

  • Español

    Competencia profesional básica

  • Francés

    Competencia profesional básica

Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto

Experiencia

  • Derivco/Betway
    Senior Quant
    septiembre de 2024 - Hoy (1 año y 9 meses)
    Sports betting ML architecture with Azure ML. Reduced model dev time by 50x. Player/team forecasting with Databricks & PySpark.
    Python Infraestructura como código DevOps artificial intelligence Gestión de bases de datos (por ejemplo, SQL, NoSQL)
  • QUINETICS
    CEO & Founder
    noviembre de 2022 - Hoy (3 años y 7 meses)
    Built AI trading platform from scratch. 1,000+ users. Launched wikifolio investment certificate, >20% vs MSCI World over 1.5 years. Full-stack: React, Flask, MySQL, GCP.
  • Credit Suisse
    Senior Quant Strategist
    abril de 2019 - noviembre de 2022 (3 años y 7 meses)
    Built global LTV methodologies for Lombard business (funds, hedge funds, fixed income). Developed margin models for Private Bank derivatives. Led desk-quant support for FO/CRM. Built ML outlier detection algorithm.

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Formación

  • CFA
    2019
    CFA
  • MSc Finance
    ESADE Business School
    MSc Finance

Conjunto de habilidades profesionales

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