Solution Engineer - Energy Risk Analytics (US) | Commodities markets | Remote @ Zema Global
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Solution Engineer - Energy Risk Analytics (US) | Commodities markets | Remote
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Job details
DEPARTMENT / Solution Engineering
Arizona - remote, Florida - remote, Illinois - remote, Michigan - remote, New Hampshire - remote, Tennessee - remote, Utah - remote, Wyoming - remote, Texas - remote, Colorado - remote
Full-time
Remote
$100,000 USD - $120,000 USD
Location: We welcome applications from candidates based in Arizona, Colorado, Florida, Illinois, Michigan, New Hampshire, Oklahoma, Tennessee, Texas, Utah and Wyoming. We prefer candidates based in Mountain Time or further east. We may also consider exceptional candidates based in Connecticut, Massachusetts and New York.
Department: Revenue
Work Model: Remote
Position Type: Full-time, Permanent
Employment Level:
Industry: Energy Data, Commodities & Financial Technology (FinTech)
Report To: Manager of Solution Engineering
Visa Sponsorship: Not available
Compensation: US$100,000-US$120,000 base salary plus uncapped commission, with target commission equal to 25% of base salary (US$125,000-US$150,000 in on-target earnings).
Ramp-Up: Structured ramp period to support pipeline build and onboarding
About Us
Founded in 1995, Zema Global Data Corporation empowers organizations to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. Over the past two years, Zema Global has accelerated its growth through strategic investment and acquisition to strengthen our global leadership. Together we're helping our customers gain a Decisioning Advantage - one bold idea at a time. With a presence across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results.
At Zema Global, we Think Big, Make It Happen, and Win as One. We thrive on collaboration, creativity, and respect, united by a shared drive to innovate and deliver meaningful impact for our customers and communities. If you're inspired by solving complex challenges and contributing to a culture that values purpose and performance, we invite you to join us.
Position Overview
The Solution Engineer sits at the intersection of energy markets, quantitative finance, and technical sales, owning the translation of cQuant.io's advanced risk analytics into clear, client-specific solutions. Working hand-in-hand with Sales, Product, and Analysts, this role leads complex client engagements - from discovery and solution design through tailored demos, proof-of-concepts, and technical proposals. The Solution Engineer engages deeply with energy and commodities clients to understand trading, risk, and valuation challenges, responds to RFPs with precision, and shapes solution architectures that align with real-world use cases across power and gas markets. With strong grounding in computational finance and energy risk management, this role also feeds market insight back into product strategy, helping refine cQuant.io's platform and strengthen its position in the energy analytics landscape.
What Youll Be Doing
Technical Sales:
Collaborate with the sales team to understand client requirements and tailor cQuant.io's solutions to meet their specific needs.
Prepare and deliver compelling product demonstrations and presentations that highlight the features, benefits, and unique advantages of our energy risk analytics solutions.
Develop and deliver customized technical presentations, proof-of-concepts, and demonstrations tailored to client objectives and use cases.
Client Engagement:
Engage with prospective clients to understand their business challenges, risk management needs, and technical requirements.
Provide detailed and accurate technical responses to RFPs (Request for Proposals), RFIs (Request for Information), and other client inquiries.
Collaborate with clients to identify and articulate their needs, ensuring that our solutions meet or exceed their expectations.
Solution Design and Strategy:
Work with product management and analyst teams to refine solution strategies based on client feedback and market trends.
Develop detailed technical proposals, including solution architecture, integration plans, and implementation strategies.
Offer input on product enhancements and new features based on client interactions and feedback.
Market and Product Knowledge:
Stay updated with industry trends, emerging technologies, and the competitive landscape in energy risk analytics.
Continuously enhance technical knowledge of cQuant.io's products and services, as well as the broader energy risk management ecosystem.
Share insights and best practices with the sales team to improve overall sales effectiveness and client engagement.
Collaboration and Communication:
Act as a liaison between the sales team, clients, and internal technical teams to ensure alignment and successful execution of the sales strategy.
Collaborate with marketing and product teams to create sales collateral, case studies, and other materials that support the sales process.
Contribute to the development and refinement of presales processes, tools, and methodologies.
What Youll Bring
Essential
Bachelor's degree in Computer Science, Mathematics, Economic, Finance, or a related field; an advanced degree or relevant certifications is a plus.
Finance-oriented profile with strong knowledge in computational finance, statistics and time series analysis, option pricing, and stochastic simulation-based analysis.
Expertise in commodities and energy markets, with a background in at least one of the following: Trading / Front Office, Risk Management / Middle Office, or Energy Contract Evaluation, Procurement, and Management.
Solid understanding of how software works from a statistical and analytical perspective, with the ability to interpret and apply quantitative models.
Hands-on experience in energy risk management and analytics.
Strong ability to explain complex technical and financial concepts to non-technical stakeholders, adapting language for client-facing discussions.
Proven track record of collaborating with sales teams to understand client requirements and tailor effective technical solutions.
Preferred Experience (in order of desirability)
Good knowledge of wholesale Power & Gas markets within the US and Europe.
Experience in other commodities markets (fuels, metals, agriculture, etc.).
Exposure to financial markets and products (e.g., banking, derivatives, or capital markets).
Additional Requirements
Proven experience in a technical presales or solution engineering role, ideally within the energy, commodities, or risk analytics sectors.
Excellent presentation and communication skills, with experience in customer-facing activities such as workshops, demos, and technical discussions.
Strong problem-solving skills and the ability to manage multiple priorities in a dynamic and fast-changing market environment.
Why Join Zema Global?
Global Impact. Shape the future of energy, commodities, and financial markets through innovative technology.
Innovation at Scale. Work with cutting-edge software, advanced analytics, and complex data that solve real-world challenges.
Career Growth. Join a fast-growing global organization where your ideas, development, and career progression are valued.
Exceptional People. Collaborate with talented colleagues and industry experts across North America, Europe, and Asia.
Meaningful Ownership. Take ownership of your work, influence strategic initiatives, and make a measurable impact on our customers and business.
One Global Team. Be part of a collaborative culture built on trust, respect, and our values: Think Big. Make It Happen. Win as One.
Application Information
Please submit your English CV in PDF format. If your experience aligns with our requirements, our Talent Acquisition team will contact you regarding the next steps.
Please note: Visa sponsorship is not available for this position.
Equality, Diversity & Inclusion
Zema Global is committed to building an inclusive workplace where everyone can thrive. We encourage applications from all qualified candidates regardless of background or protected characteristic.
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AI disclaimer
This application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.
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| Location | NY (Remote) |
| Salary | $100,000–$120,000 Per Year |
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