Senior Quantitative Analyst

Storm4

Austin, US

Remote

Why this role

Pace

Fast Paced

Collaboration

Medium

Autonomy

Medium

Decision Impact

Company

Role Level

Individual Contributor

What success looks like

inform and execute DART trading and BESS optimisation strategies
contribute to forecasting workflows across ERCOT, PJM and MISO

Typical background

quantitative degree in computer science, data science, mathematics or a related field

Transferable backgrounds

Skills & requirements

Required

wholesale power market fundamentalsML and statistical modellingforecastingcongestion analysisbasis risk concepts

Preferred

experience in PJM or ERCOT

Stack & domain

PythonSqlPower tradingBess optimisationDart tradingForecastingCongestion analysisBasis risk conceptsMachine learningData scienceLeadershipCommunicationTeamworkEnergy marketsBattery storage optimisation

About the role

Role: Quant Analyst

Industry: Energy Markets | BESS Optimisation | Power Trading

Location: Fully Remote (US)

Salary: $140,000 to $180,000 + bonus

About the Company Our client is a fast-growing energy markets business operating at the cutting edge of battery storage optimisation and power trading. They are expanding into new ISO markets and are looking for a Quant Analyst to sit at the intersection of quantitative modelling and market fundamentals, translating complex model outputs into real trading decisions.

What You Will Be Doing

Using model outputs to inform and execute DART trading…

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Apply on Storm4 site