14 beste Stellen als research scientist in bayern – aktuell auf Personalsuche

Team Lead (m/f/d) Quant Trading
The Mobility House —München
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- APIs
- Python
- Flexible Arbeitszeiten
Direkt bewerben
14 Tage
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Fraunhofer-Institut für Integrierte Schaltungen IIS —Nürnberg
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Speechify —München
- Homeoffice
- Doktorat
- Informatik
- Master
6 Tage
Software Engineer, iOS Core Product - Munich, Germany
Speechify —München
- Homeoffice
- Doktorat
- Künstliche Intelligenz
6 Tage
Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich
Mistral AI —München
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- Doktorat
- Master
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3 Tage
Tech Lead, Web Core Product & Chrome Extension - Munich, Germany
Speechify —München
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W2 Professorship for AI Infrastructure (f/m/d)
Technische Hochschule Würzburg-Schweinfurt —Würzburg
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
System on Chip (SoC) Verification Engineer (all genders)
Fraunhofer-Institut für Integrierte Schaltungen IIS —Erlangen
- Teilzeit
- Englisch
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Senior Data Scientist Workforce Optimization (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
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- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Staff Software Engineer (d/m/f)
Flexa —München
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Direkt bewerben
Software Engineering Manager - Control System
planqc —Garching bei München
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Senior Software Engineer, Windows/Desktop Applications - Munich, Germany
Speechify —München
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- Doktorat
- Windows
- C++
6 Tage
Electrical Engineer - High voltage (f/m/x)
Marvel Fusion GmbH —München
- Englisch
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Team Lead (m/f/d) Quant Trading

The Mobility House -
München

Direkt bewerben

Details zur Stelle

Vollzeit
vor 14 Tagen

Leistungen

Firmenfahrrad-Leasing
Flexible Arbeitszeiten
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

Mathematikkenntnisse
APIs
Python

Vollständige Stellenbeschreibung

Why The Mobility House?

Help shape our vision of an emission-free energy and mobility future
High levelof responsibility and rapid development in a growing and innovative company
Open, diverse & international team
Flexible working hours and additiona lvacation days
Mobile working from home and 20 days in other European countries
Choice between the latest Apple and Dell IT equipment
Subsidy for Deutschlandticket job
Wellpass membership
Lease of your preferred car and bike via FINN or JobRad
Modern office with good public transport connections
A greenfield mandate: you’ll shape the algorithmic architecture of a growing multi-market BESS and EV flexibility trading business
Direct collaboration with the Head of Trading, Trading Leads, and platform engineering - short decision paths, high ownership
A live portfolio spanning ~600 MW across five European countries, with active expansion into Southeast Europe
Competitive compensation with performance component

What you do

Our trading & optimization is scaling fast. We currently optimise and market a ~600 MW portfolio of battery storage systems and aggregated EV flexibility across Day-Ahead, Intraday and reserve markets in five European countries - and we’re just getting started.
We’re looking for someone who builds the algorithmic engine on top of our trading platform - not just maintaining what exists, but designing the optimisation framework that will drive our next phase of growth. You’ll lead a small, high-calibre team of quant traders, analyst and data scientists, work closely with the Head of Trading and Trading Analytics and Tech, and own the full lifecycle from research to production.
This role is for someone who is equally at home writing a stochastic dispatch optimiser, reviewing a backtest, or explaining model assumptions to a senior stakeholder.

Designing and owning the algorithmic optimisation stack - multi-market dispatch optimisation, stochastic bidding strategies across DA, ID, FCR, aFRR and mFRR, and real-time decision logic for BESS assets
Leading a team of 7 Quant Traders, Analyst and Data Scientists - setting direction, prioritising the roadmap, running code reviews, and building a strong delivery culture
Driving the research-to-production pipeline: from hypothesis and backtesting through validation, deployment with Tech, and continuous performance monitoring
Advancing the automation agenda together with the Platform teams.
Building and maintaining BESS valuation and degradation models at fleet scale, incorporating physical constraints, cycle costs, and multi-market opportunity costs
Acting as the key technical interface between quant models and trading strategy - translating trader intuition or quant insights into formal optimisation problems and communicating model outputs clearly
Serving as key sparring partner for the senior leadership on algorithm performance, market structure changes, and quantitative strategy

Who you are

Several years of hands-on experience in quantitative energy trading, BESS optimisation, or algorithmic trading in European power markets - you understand both the math and the commercial logic
Deep expertise in optimisation methods: LP/MIP, stochastic dynamic programming, rolling intrinsic or SDDP approaches for storage dispatch
Solid Python skills and strong quantitative mindset – including financial modelling, risk assessment and data-driven decision making
Familiarity with European market infrastructure (EPEX SPOT, XBID, TSO reserve market platforms) and data APIs
Track record of leading or mentoring a quant or dev team - you create clarity, enable autonomy, and hold a high technical bar without micromanaging
Strong communicator: you can explain a stochastic optimisation model to a trader and a P&L attribution to senior management
Fluent English, German is a plus

Nice to have:

Experience with SDDP (Stochastic Dual Dynamic Programming) 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

Are you a good fit for us?

Diversity enriches our team and makes us stronger. Regardless of origin, gender, age, sexual orientation, religion, or any disability – everyone is welcome here! We look forward to receiving your application and achieving great things together.

Your contact person

Vanessa

[email protected]

About us

Shaping an emission-free energy and mobility future - that is the goal of The Mobility House. To achieve this, we combine the automotive and energy sectors with our technology. We integrate vehicle batteries into the power grid using intelligent charging and energy solutions. The whole thing started 15 years ago with a simple idea from our founder Thomas Raffeiner: What if idle electric cars could be used as mobile storage units? And make their potential available to the energy industry with its growing storage requirements? The idea for The Mobility House was born.

With over 350 employees, we are active worldwide from our locations in Munich, Zurich, Belmont, CA (USA), Paris and Singapore. We are always on the lookout for new faces who share our enthusiasm for our vision.
Do you want to be part of the future with us? Then we look forward to receiving your application.

Direkt bewerben

Erweiterte Suche

research scientist Jobs in bayern

Team Lead (m/f/d) Quant Trading

Senior C++ Software Developer (Python, Git)

Field Application Engineer (all genders) – mioty® LPWAN

Software Engineer, Data Infrastructure & Acquisition - Munich, Germany

Software Engineer, iOS Core Product - Munich, Germany

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich

Tech Lead, Web Core Product & Chrome Extension - Munich, Germany

W2 Professorship for AI Infrastructure (f/m/d)

System on Chip (SoC) Verification Engineer (all genders)

Senior Data Scientist Workforce Optimization (m/f/d)

Staff Software Engineer (d/m/f)

Software Engineering Manager - Control System

Senior Software Engineer, Windows/Desktop Applications - Munich, Germany

Electrical Engineer - High voltage (f/m/x)

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