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THThe Mobility House

Team Lead Quant Trading(m/w/x)

München
Vollzeitmit HomeofficeSenior

Designing algorithmic optimization stack for BESS assets and multi-market dispatch. Deep expertise in optimization methods and Python required. Performance component, high responsibility.

Anforderungen

  • Hands-on experience in quantitative energy trading, BESS optimisation, or algorithmic trading in European power markets
  • Understanding of math and commercial logic in energy trading
  • Deep expertise in optimisation methods (LP/MIP, stochastic dynamic programming, rolling intrinsic or SDDP)
  • Solid Python skills
  • Strong quantitative mindset
  • Financial modelling skills
  • Risk assessment skills
  • Data-driven decision making
  • Familiarity with European market infrastructure (EPEX SPOT, XBID, TSO reserve market platforms)
  • Familiarity with data APIs
  • Track record of leading or mentoring a quant or dev team
  • Ability to create clarity and enable autonomy
  • High technical bar without micromanaging
  • Strong communication skills
  • Ability to explain complex models to traders
  • Ability to explain P&L attribution to senior management
  • Fluent English
  • Experience with SDDP or similar scenario-tree approaches for multi-period storage valuation
  • Background in Monte Carlo simulation for extrinsic value modelling or DA-SWAP pricing on BESS assets
  • Exposure to multiple European market zones (DE/AT, FR, BE, SE, BG or similar)
  • Knowledge of REMIT / REMIT-II compliance requirements
  • Experience with ETRM systems or building proprietary trading infrastructure

Aufgaben

  • Design and own algorithmic optimization stack
  • Optimize multi-market dispatch and stochastic bidding strategies
  • Lead real-time decision logic for BESS assets
  • Manage a team of 7 Quant Traders, Analysts, and Data Scientists
  • Set team direction and prioritize roadmap
  • Run code reviews and build strong delivery culture
  • Drive research-to-production pipeline
  • Conduct hypothesis and backtesting
  • Validate and deploy models with Tech
  • Monitor continuous performance
  • Advance automation with Platform teams
  • Build and maintain BESS valuation models
  • Incorporate physical constraints and multi-market opportunity costs
  • Act as technical interface between quant models and trading strategy
  • Translate trader intuition into formal optimization problems
  • Communicate model outputs clearly
  • Serve as key sparring partner for senior leadership
  • Advise on algorithm performance and market structure changes
  • Develop quantitative strategy

Berufserfahrung

  • ca. 4 - 6 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischfließend
  • DeutschGrundkenntnisse

Tools & Technologien

  • Python
  • LP/MIP
  • stochastic dynamic programming
  • rolling intrinsic
  • SDDP
  • EPEX SPOT
  • XBID
  • TSO reserve market platforms
  • data APIs
  • Monte Carlo simulation
  • ETRM systems

Benefits

Boni & Prämien

  • Performance component

Sinnstiftende Arbeit

  • High level of responsibility

Startup-Atmosphäre

  • Rapid development
  • Growing and innovative company

Lockere Unternehmenskultur

  • Open, diverse & international team

Flexibles Arbeiten

  • Flexible working hours
  • Mobile working from home

Mehr Urlaubstage

  • Additional vacation days

Workation & Sabbatical

  • 20 days working in other European countries

Moderne Technikausstattung

  • Choice between Apple and Dell IT equipment

Öffi Tickets

  • Subsidy for Deutschlandticket job

Gesundheits- & Fitnessangebote

  • Wellpass membership

Firmenwagen

  • Lease of preferred car via FINN or JobRad

Firmenfahrrad

  • Lease of preferred bike via FINN or JobRad

Modernes Büro

  • Modern office

Parkplatz & Pendelvorteile

  • Good public transport connections
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens The Mobility House erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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