Senior Quantitative Analyst
Quick Summary
Design price and demand forecast models, forward curves,
Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market.
The worlds of energy, transport and artificial intelligence are colliding and Ohme is at the heart of this new era. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core.
Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of VW, Mercedes, Octopus Energy, and other innovative brands.
We are scaling up the business and are building out the team for rapid growth. If you’re interested joining a fast-growing cleantech venture on a data and AI-first journey to speed up the global transition to clean, affordable energy, read on!
Ohme is rapidly expanding our participation in the Energy sector through our EV charging points. We're looking for a Senior Quantitative Analyst who sits at the intersection of analytical rigour and commercial judgement. In this role you’ll not just be handed problems to solve, you'll identify what needs building, own the models that drive trading decisions, and design them from the ground up to scale toward automation. You'll bring deep quantitative expertise that traders and analysts can rely on and learn from and be a close partner to technology teams.
Responsibilities
~1 min read- →Portfolio valuation & pricing: Design price and demand forecast models, forward curves, and correlation frameworks that underpin portfolio valuation - translating fleet charging behaviour into tradeable positions and setting the quantitative standard the wider team works to.
- →Strategy & optimisation: Design, back-test, and iterate dynamic optimisation strategies across the market stack, identifying market structure patterns and correlations that surface new commercial opportunities.
- →Risk & settlement: Develop imbalance exposure and settlement risk models accounting for our BSC obligations and produce the scenario analysis and stress tests that support trader decision-making under abnormal market conditions.
- →Automation & infrastructure: Design models and tools with automation in mind from day one - built to drive trading decisions at scale. Actively work with backend and data engineering teams to provide the guidance needed to deliver the required solutions.
- 5+ years in a quantitative role with direct exposure to GB or European energy markets (i.e. aggregator, trading house, utility trading desk, or energy consultancy)
- Deep understanding of GB electricity market mechanics: day-ahead and intraday auction structure (N2EX/EPEX), imbalance pricing, BSC settlement, DSO and NESO flexibility procurement
- Proven track record of building and deploying models that have directly influenced trading or commercial decisions
- Strong programming skills with experience building production-quality analytical tools (e.g. Python); SQL proficiency
- Experience with time-series modelling, dispatch simulation, or stochastic optimisation
- Strong commercial instincts to identify what's worth building, not just the technical ability to build it
- Able to communicate complex quantitative work clearly to traders, commercial leads, and senior leadership as well as development teams
What We Offer
~1 min readYou’ll get to work in a fast-paced and rapidly growing scale-up with global ambitions that is cutting edge, passionate about sustainability and seeks to make the world a better place.
Location & Eligibility
Listing Details
- Posted
- July 13, 2026
- First seen
- July 13, 2026
- Last seen
- July 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 13, 2026
Signal breakdown
Please let Ohme know you found this job on Jobera.
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