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Stock Market Engineer Jobs (NOW HIRING)

You'll act as an internal consultant, embedded with our Solutions Engineers and pre-sales team ... Stock Options * Health Plan wherever you are. * Flexible Days Off We may use artificial ...

DR We're hiring a GTM Engineer to build and run the engine that drives our growth - outbound ... Stock options awards, and refreshers for top performers * Benefits: Medical, Dental, Vision, 401K ...

You will structure first-of-kind partnerships, align Product, Engineering, Legal, Finance, and ... Own and grow Microsoft's strategic data partnerships across stock exchanges, stock market indexes ...

Senior .Net Software Engineer

Provo, UT · On-site

$117K - $154K/yr

... Stock Market of Politics" where 100,000+ enthusiastic Traders make $1 winner-take-all political ... Net Software Engineer for PredictIt you will get to work on challenging and rewarding projects ...

UI Developer

Boston, MA · On-site

$54.25 - $70.50/hr

Hi, Greetings from Conch Technologies Position: UI Developer (front-end) Location: Boston, MA, and ... An understanding or familiarity with financial technology and the stock market Thanks & Regards ...

Senior .Net Software Engineer

Provo, UT · On-site

$117K - $154K/yr

... Stock Market of Politics" where 100,000+ enthusiastic Traders make $1 winner-take-all political ... Net Software Engineer  for PredictIt you will get to work on challenging and rewarding projects ...

$125 - $150/hr

... Stock Market of Politics" where 100,000+ enthusiastic Traders make $1 winner-take-all political ... Net Software Engineer for PredictIt you will get to work on challenging and rewarding projects ...

UI Developer (front end)

Boston, MA · On-site

$54.25 - $70.50/hr

Hi, Greetings from Conch Technologies Position: UI Developer (front end) Location: Boston, MA, and ... An understanding or familiarity with financial technology and the stock market With Regards ...

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Stock Market Engineer information

See salary details

$50K

$88.6K

$135K

How much do stock market engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for stock market engineer in the United States is $88,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $99,500.00 per year, depending on experience, location, and employer.

What is a stock market engineer?

A Stock Market Engineer is a professional who designs, builds, and maintains the technical systems that support stock market operations. They work with trading platforms, data feeds, algorithms, and infrastructure to ensure fast, secure, and reliable processing of financial transactions. Their role often involves programming, systems engineering, and collaborating with traders and analysts to implement new features or improve system performance. Stock Market Engineers play a crucial part in making sure that stock exchanges and trading firms can operate efficiently and adapt to changing market technologies.

What are the key skills and qualifications needed to thrive as a stock market engineer, and why are they important?

To thrive as a Stock Market Engineer, you need expertise in computer science, quantitative analysis, and a solid understanding of financial markets, often supported by a degree in a related field. Familiarity with programming languages like Python or C++, financial databases, and technologies such as FIX protocol or trading platforms is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills for this role. These competencies enable engineers to design reliable, high-performance trading systems that operate efficiently in complex and dynamic market environments.

How does a stock market engineer typically collaborate with other teams within a financial organization?

Stock Market Engineers often work closely with data scientists, traders, and software developers to design and maintain trading platforms and analytics tools. They play a critical role in translating trading strategies into scalable, efficient software solutions, ensuring that systems are robust and compliant with industry regulations. Regular communication with stakeholders is essential to adapt to rapidly changing market requirements and implement new features. Collaboration is usually fast-paced and relies on agile development methodologies to stay ahead in the competitive financial technology space.

What is the difference between Stock Market Engineer vs Quantitative Analyst?

AspectStock Market EngineerQuantitative Analyst
Required CredentialsBachelor's or higher in finance, engineering, or related fields; certifications like CFA beneficialDegree in finance, mathematics, or statistics; CFA or CQF often preferred
Work EnvironmentFinancial firms, trading desks, fintech companiesInvestment banks, hedge funds, asset management firms
Employer & Industry UsageUsed in trading algorithm development, market data analysisFocuses on quantitative modeling, risk assessment, and pricing

While both roles involve financial data analysis and programming, Stock Market Engineers primarily develop trading systems and algorithms, whereas Quantitative Analysts focus on creating models for pricing and risk management. Both roles require strong technical skills and industry knowledge, but their core functions differ in application and focus.

What are popular job titles related to Stock Market Engineer jobs?

For Stock Market Engineer jobs, the most frequently searched job titles are:

Infographic showing various Stock Market Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $88,637 per year, or $42.6 per hour.
Yuno
Internet and IT • 1 - 10 employees

Full-time

Medical

Re-posted 27 days ago


Job description

Remote, Americas, Full Time, Individual Contributor, +3 years of experience
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations.
We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role
We are orchestrating the best high-performing team!
We're looking for a GTM Engineer to become the AI engine behind our pre-sales team. This isn't a traditional Sales Ops role. You'll act as an internal consultant, embedded with our Solutions Engineers and pre-sales team, understanding the friction points that slow down technical discovery, demos, and deal cycles - and turning that friction into AI-powered solutions that let the team focus on what matters: helping prospects understand why Yuno is the right choice.
You will design and build agents, workflows, and automations that touch every part of the pre-sales process - from technical discovery and demo prep to research matters, security questionnaires, and cadences execution support. Things move fast here, and the tools that work today might need to evolve tomorrow. We need someone who treats change as fuel, not friction, constantly testing new models, platforms, and approaches to keep our pre-sales motion ahead of the curve.
Every automation you ship has to actually work - reliably, at scale, without creating more manual cleanup than it saves. We're not looking for flashy demos; we're looking for tools the pre-sales team trusts and uses every single day. You'll be measured by adoption and impact, not by how sophisticated the tech stack looks on paper.
If you're obsessed with AI tooling, love making other people's work easier, and want to build the systems behind Yuno's pre-sales engine from the ground up - this role is for you.
Your contribution will be
  • Design, build, and deploy AI agents and automations for the pre-sales team.
  • Map the pre-sales process end-to-end to identify friction points and automation opportunities.
  • Automate and accelerate RFP/RFI responses and security/compliance questionnaires.
  • Build tools that speed up technical discovery, demo prep, and POC execution.
  • Integrate AI tools with our CRM, proposal, and knowledge management systems.
  • Prototype quickly, test with Solutions Engineers, and iterate based on real usage.
  • Train and support the pre-sales team on adopting new AI tools and workflows.
  • Monitor automation performance and continuously optimize for reliability and impact.
  • Stay ahead of new AI tools, models, and frameworks relevant to pre-sales and GTM.
  • Document workflows and automations so they're scalable and easy to maintain.
  • Partner with Marketing to support and automate inbound lead handling.

Skills You Need
Minimum Qualifications
  • Fluent English
  • +3 years of experience in GTM Engineering, Sales Engineering, Solutions Engineering, or similar technical/commercial hybrid roles
  • Hands-on experience building automations and AI agents (e.g., n8n, Zapier, Make, custom scripts, LLM APIs)
  • Solid understanding of pre-sales workflows (discovery, demos, RFPs, POCs)
  • Comfortable working with technical concepts such as APIs and integrations
  • Proficiency with CRM and proposal/knowledge management tools (Salesforce, HubSpot, or similar)
  • Comfortable writing scripts or light code (Python, JavaScript) to build custom integrations
  • Strong problem-solving skills and ability to translate business needs into technical solutions
  • Excellent communication skills to work directly with non-technical stakeholders
  • Self-starter mindset, comfortable navigating ambiguity and fast-changing priorities

What We Offer at Yuno
  • Competitive Compensation
  • Remote Work - You can work from everywhere!
  • Home Office Bonus - A one-time allowance to help you create your ideal home office.
  • Work Equipment
  • Stock Options
  • Health Plan wherever you are.
  • Flexible Days Off

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at [email protected].