Power Trading Analyst Job at Appian Way Energy Partners (Cambridge)

Power Trading Analyst

Appian Way Energy Partners is currently accepting applications for Power Trading...

Location

United States , Cambridge

Salary:

Not provided

Appian Way Energy Partners

Expiration Date

Until further notice

Requirements

Undergraduate degree and 2 years of work experience in electricity market analysis/related field, or an advanced degree in electrical engineering, operations research, or energy economics
Proficiency in Python, SQL, and/or R

Job Responsibility

Support decision-making and trading in U.S. electricity markets: Predict future congestion and pricing outcomes of power markets transitioning to greater renewables, storage, and electrification
Maintain, execute, calibrate, and continuously improve power flow models
Model market supply, demand, pricing, and grid congestion fundamentals for daily trading purposes and to assess long-term commercial opportunities
Employ economic, statistical, and machine learning methods to identify commercial opportunities
Track and analyze electricity markets: Develop an in-depth understanding of grid congestion and price formation in a specific power market. Markets of interest include CAISO, ERCOT, SPP, MISO, PJM, and NYISO
Research trends in energy policy, renewable power, transmission expansion, electrification, and demand response, and assess their commercial impact
Work collaboratively with a broader team while also advancing their own independent projects, research, and innovation

What we offer

Competitive salary, bonus, and PTO
Health, dental, vision, and disability insurance plans
401k safe harbor match and profit-sharing
Visa sponsorship

Senior Power Analyst

The Senior Analyst leads the fundamental strategy and analytical needs of the Eu...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10 years experience in a Power role with deep fundamental knowledge of European markets (mainly CWE, SEE, UK)
Knowledge of European power stack from a flow-based market coupling perspective
Knowledge of hydro optimisation modelling, nuclear modulation modelling, wind/solar and residual demand modelling
Experience interacting daily with traders, assisting with discovery of relative value market opportunities (CSS,CLS, cross border, time spreads) and participating in the creation of trading strategies
Strong data analytics knowledge
Masters degree/University degree in Economics or STEM topic

Job Responsibility

Lead the build out and maintenance of the data analytics, European power stack and a data visualization hub for the desk
Assist in recognising relative value market opportunities and hedging strategies through a fundamental approach and propose trading strategies to monetise those fundamental views
Coordinate with Sales, Research and other organizations across Markets and Securities Services and the broader business to provide updates and views for the European Power market
Work with the trading desk and strategists to identify and value opportunities on long-term investments in power
Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services
Adhere to all policies and procedures as defined by your role which will be communicated to you
Obtain and maintain all registrations/licenses which are required for the role, within the appropriate timeframe

Fulltime

Trading Analyst

Are you interested in financial markets, AI and computer programming? Do you enj...

Location

Australia , Sydney

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

3+ years’ experience in an equivalent role highly desirable
A strong quantitative background (a degree in math, science, technology, actuarial studies, or finance)
Proficient in Python, SQL, and Excel/VBA
Strong interest and experience with AI
Strong numerical and problem-solving skills
Strong communication and collaboration skills
A demonstrated passion for trading
Willingness to learn new technologies, navigate frequent change, and contribute to a high-performance environment

Job Responsibility

Design, build and deploy AI-powered agents that augment traders’ decision-making, automate repeatable workflows, and enable our trading to operate more efficiently and at greater scale
Develop intelligent automation for traders via scripting APIs, embedding AI agents directly into day-to-day trading workflows
Drive data insights by owning and evolving data pipelines to analyse market behaviour and inform systematic and discretionary trading strategies
Create intuitive dashboards and visualisation tools (using Dash, Excel/VBA, Svelte, etc.) that deliver real-time analytics, directly support trading decisions on the floor, generate actionable insights and track key performance indicators
Collaborate cross-functionally with traders, researchers, developers and external partners to continuously improve and optimise our trading strategies and operational processes

What we offer

A performance-based bonus structure unmatched anywhere in the industry
The chance to work alongside diverse and intelligent peers in a rewarding environment
Training, mentorship and personal development opportunities
Daily breakfast, lunch and an in-house barista
Gym membership plus weekly in-house chair massages
Regular social events, including a company trip every two years
Guided relocation, a competitive relocation package and visa sponsorship where necessary

Trading Analyst - New Categories

The New Categories Online Trading Analyst plays a critical role in the team, acc...

Location

United Kingdom , Waterloo

Salary:

Not provided

Currys

Expiration Date

Until further notice

Requirements

Advanced numerical and analytical capability, with the ability to integrate multiple data sources, and deliver clear, actionable commercial insights
Advanced proficiency in digital analytics platforms, including Adobe Analytics, GA4, and ContentSquare
Strong Power BI skills, including data modelling, DAX, and building compelling, insight‑led visualisations that effectively support trading decisions
Ability to translate stakeholder needs into structured analysis and insight, understanding commercial motivations and shaping outputs that drive meaningful action
Strong ability to communicate insights in a clear, concise and powerful manner both verbally and in writing, targeted to varying levels of leadership
Excellent SQL skills, particularly with Google BigQuery and Azure Synapse
2-4 years’ experience of eCommerce / Digital Analytics, preferably gained with an online retailer
A degree in any analytical, business, marketing, or related discipline OR equivalent experience gained through eCommerce, digital marketing, retail or analytics roles
Industry certifications in GA4, Adobe Analytics, Power BI or ContentSquare are beneficial but not essential (training can be provided)
Demonstrated ability to work with data, either through academic projects, online learning, or relevant job experience

Job Responsibility

Work closely with Trading Managers and Commercial Squads to understand business requirements for online trading and performance marketing, to provide regular analysis of the drivers of digital trading performance
Use a wide range of data sources including web analytics, digital trading metrics, customer behaviour data, competitor/market intelligence, and supply insights to provide a holistic view of category performance
Build and maintain advanced Power BI dashboards that surface real time KPIs, highlight opportunities, and enable quicker, informed trading decisions
Use modern analytical techniques (e.g., behavioural segmentation, funnel diagnostics, forecasting, attribution insights) to uncover performance drivers and emerging demand trends
Proactively identify issues and opportunities across traffic, conversion, product availability, pricing, and customer journeys for new categories
Translate data into clear, commercially focused recommendations that inform trading squads, commercial teams, and marketing planning
Collaborate with Category, Digital Product, UX, and Marketing teams to ensure insights lead to tangible improvements in on site experience, merchandising, search, content, and demand generation
Support day to day online trading by providing rapid insight during key events, new launches, and category expansion initiatives
Contribute to the development of new analytical frameworks, tools, and best practices to continually improve the way we measure and optimise category performance

What we offer

New opportunities
on-going training and skills for life

Fulltime

Power Analyst

Susquehanna’s energy and power trading is informed by a strong fundamental under...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

0-2 years of experience
Ability to begin full-time employment by August 2026 or earlier
Bachelor's degree required
specialization in Electrical Engineering or a related discipline preferred
Creative problem solving and intellectual curiosity about electricity markets and fundamentals
Strong communication skills
ability to interact effectively with all levels of the organization
Ability to work as part of a team while having the confidence to act autonomously
Strong attention to detail
ability to complete data entry and mapping

Job Responsibility

Maintain internal data systems to standardize our historical and forecasted fundamental data involving electricity supply, demand, and transmission
Analyze historical transmission and price data in our power mapping software
Utilize data findings to highlight geographic patterns to help inform energy forecasts
Compare different electricity topologies to identify differences that could lead to divergence between nodal costs and payoffs

Fulltime

Quantitative Trading Analyst

SESCO Enterprises, LLC is a proprietary commodities trading firm specializing in...

Location

United States , Monroeville

Salary:

Not provided

SESCO Enterprises

Expiration Date

Until further notice

Requirements

Undergrad or master's in a technical discipline (e.g., Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities
Strong foundation in probability and statistics, with working knowledge of machine learning techniques preferred
Expertise in Python and related libraries (e.g., NumPy, Pandas, SciPy, Dask, Ray, Streamlit)
Proven ability to design and implement mathematical models and handle large, complex datasets
Experience managing multiple projects in a fast-paced, dynamic environment
Understanding of origination, trading exposure, and financial implications and familiarity with power markets preferred but not required

Job Responsibility

Deploy trading solutions
Develop strategies
Optimize portfolio construction in electricity markets
Solve complex quantitative and technical problems in collaboration with a team of skilled traders and quantitative researchers
Combine software development expertise with mathematical and optimization techniques to develop statistical and simulation-based models for trading, investment decisions, and forecasting
Create and maintain systems that integrate structured and semi-structured data into robust models used for scenario analysis and probabilistic outcomes

RES & BESS Energy Trading Analyst

The role focuses on optimizing Renewable Energy Sources (RES) and Battery Energy...

Location

Italy , Milan

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

More than 3 years of experience in power markets
familiarity with short-term markets (Intraday, Balancing) is considered a strong plus
Proven capability in time series analysis, development of analytical models and performance monitoring tools
Experience in the Italian Electricity Market and its regulatory framework
Bachelor’s degree in Engineering, Mathematics, Computer Science, Economics, or related field
Postgraduate studies in AI, Machine Learning, or Data Science considered a plus
Strong technical proficiency in Python, SQL and data analysis workflows

Job Responsibility

Develop comprehensive trading strategies for RES and BESS assets across Day Ahead, Intraday, and Balancing markets
Support the daily operational activities of the RES & Storage Assets Optimization unit
Assist in designing and deploying data-driven signal generation systems and algorithmic market strategies
Serve as a key liaison with official entities including Terna, GME, and other regulatory or operational stakeholders
Analyze data from various market sources to extract insights and generate actionable market analysis reports
Accuracy and efficiency of trading decisions impacting RES and BESS portfolio performance
Delivery of high-quality analytical models that enhance operational and trading workflows
Proactively identifying operational risks and opportunities resulting from regulatory changes

What we offer

Competitive remuneration package
Group Health Insurance Plan
Meal allowance

Senior FP&A Analyst-Consumer Power

The Senior FP&A Analyst-Consumer Power plays a key role in providing controllers...

Location

United States , Pewaukee

Salary:

Not provided

Energy Systems

Expiration Date

Until further notice

Requirements

Strong analytical mindset
Ability to effectively utilize basic Microsoft products such as Word, Excel, Outlook, and Teams
Strong business mathematical and analytical skills with intense attention to detail with accuracy and consistency
Understanding of Generally Accepted Accounting Principles (GAAP) and ability to read legal documents (leases/contracts)
Intermediate to advanced Microsoft Excel experience
Bachelor’s degree in Accounting or Finance
4-6 years of experience in an accounting or finance related field.

Job Responsibility

Assist on multiple forecast updates as well as the annual budgeting process with a operating expense focus
Lead month-end accounting activities as well as Consumer Power’s financial reporting including (1) review of Consumer Power’s monthly financial reporting package, (2) review sales commission and product royalty accruals, (3) review of month end rebate, advertising, and special promo accruals, (4) review of cash discounts, trade discounts, off-invoice discounts, and floor-plan financing fees, (5) lead monthly review of cost center variance analysis, (6) preparation of channel financial statements and variance analysis, (7) lead channel financial statement review with Channel Sales VP leader, and (8) ad-hoc requests from financial management and other department leaders
Assist on various financial planning and analysis activities including (1) preparation of the monthly GPS business group variance review, (2) assistance on preparation of monthly “flash” reports on financial performance, (3) evaluating performance of Retail advertising & promotional spend, and (4) ad-hoc requests from financial management and other department leaders
Own Generac’s Profitability Enhancement Program (PEP) for Consumer Power including (1) meeting with cross-functional leaders to identify cost savings, (2) maintaining the project tracker, (3) reporting results monthly to business group & executive leadership
Provide on-the-job mentoring and support to the financial analyst, Consumer Power and finance intern, Consumer Power
Provide support to the Senior Manager of FP&A, VP of Finance and necessary business/function leaders
Ability to understand the complex global business of Generac organized around several business groups, including end markets, competitive environment, industry peer group and general economic indicators that are important to Generac
Assist the Consumer Power finance team with optimizing the reporting from PowerBI as well as our financial reporting and planning software, OneStream
Identify knowledge gaps and develop tools, processes, and models to provide meaningful information to business group leaders
Demonstrate a commitment to continuous process improvement. Identify and eliminate non-value-added activities and streamline processes.

Fulltime

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Power Trading Analyst

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