Software Engineer - Financial Research and Market Intelligence

Company: Finstock, Inc.

Location: Remote - United States preferred

Workplace type: Remote

Job type: Full-time

Compensation: USD $105,000–$145,000 annual base salary, depending on experience, technical depth, location, and role fit

Reporting line: Engineering Lead

Collaboration tools: Microsoft Teams, Outlook, Microsoft 365, GitHub, cloud platforms, and company-approved productivity tools

About Finstock, Inc.

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for experienced market users, analysts, research teams, and institutions.

Our products rely on reliable software systems, scalable APIs, secure data workflows, responsive user interfaces, and high-quality engineering practices across financial research, analytics, and market intelligence use cases.

About the Role

We are hiring a Software Engineer to help build, maintain, and scale Finstock’s financial research and market intelligence platform.

In this role, you will work across backend services, APIs, product features, data integrations, internal tools, and user-facing workflows. You will collaborate with engineering, product, data, AI, and analyst teams to deliver reliable software that supports financial research, market analytics, and decision-support workflows.

This is a remote role with a preference for candidates based in the United States. Candidates in other countries may be considered where Finstock, Inc. is able to engage them in compliance with applicable employment, tax, data protection, and operational requirements.

Key Responsibilities

• Design, build, test, and maintain software features for Finstock’s financial research and market intelligence platform.
• Develop secure, reliable, and scalable backend services, APIs, and internal systems.
• Build and improve user-facing product workflows, dashboards, research tools, and analytics features.
• Integrate financial market data, company data, research metadata, analytics outputs, and approved third-party APIs into product workflows.
• Collaborate with data engineers, AI engineers, product managers, analysts, and designers to translate product and research requirements into production-ready software.
• Write clean, maintainable, tested, and well-documented code.
• Participate in code reviews, architecture discussions, technical planning, and engineering design decisions.
• Improve application performance, reliability, observability, error handling, and security.
• Help build tools that support analyst workflows, financial research automation, charting, data review, and market intelligence features.
• Troubleshoot production issues, investigate bugs, and support incident resolution when required.
• Contribute to CI/CD workflows, testing standards, documentation, and engineering best practices.
• Ensure software development follows internal security, privacy, confidentiality, and data-handling requirements.

Required Qualifications

• 3+ years of professional experience in software engineering, backend engineering, full-stack engineering, or a related technical role.
• Strong proficiency in at least one modern programming language such as Python, TypeScript, JavaScript, Java, Go, or C#.
• Experience building production-grade APIs, backend services, web applications, or internal engineering tools.
• Experience with relational databases such as PostgreSQL, MySQL, or similar systems.
• Familiarity with frontend or full-stack development using frameworks such as React, Next.js, Angular, Vue, or similar tools.
• Experience working with cloud platforms such as AWS, Google Cloud Platform, Microsoft Azure, or similar environments.
• Understanding of software architecture, testing, debugging, version control, API design, authentication, authorization, and secure coding practices.
• Comfortable working with Git, GitHub, CI/CD tools, issue tracking systems, and remote engineering workflows.
• Strong problem-solving ability, ownership mindset, and attention to engineering quality.
• Strong written communication skills and ability to collaborate effectively in a remote environment.
• Professional commitment to data security, confidentiality, and responsible handling of financial and user-related data.
• Ability to work remotely in compliance with applicable laws and eligibility requirements.

Preferred Qualifications

• Experience working with fintech products, financial market data, investment research platforms, trading analytics, or capital markets infrastructure.
• Familiarity with financial data concepts such as equities, ETFs, indices, FX, crypto assets, commodities, fundamentals, filings, corporate actions, and market data APIs.
• Experience with Python-based financial tools, data processing libraries, or analytics workflows.
• Experience with Node.js, FastAPI, Django, Flask, NestJS, GraphQL, or similar backend frameworks.
• Experience with PostgreSQL, Redis, Elasticsearch/OpenSearch, MongoDB, vector databases, or time-series databases.
• Experience with Docker, Kubernetes, Terraform, GitHub Actions, observability tools, and cloud deployment workflows.
• Experience supporting AI-assisted products, LLM features, search systems, retrieval systems, or research automation tools.
• Experience building secure user-scoped workflows, permission systems, audit trails, or enterprise SaaS features.
• Interest in financial research, market intelligence, AI-assisted workflows, and quantitative analytics.

What You Will Work On

You may work on projects such as:

• Building APIs and product features for financial research and market intelligence workflows.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Creating user-facing dashboards, research tools, charting features, and internal analyst tools.
• Integrating market data, financial statements, corporate actions, news, and research metadata into product systems.
• Building secure user workspace features and permission-aware data access workflows.
• Improving backend performance, system reliability, monitoring, and production stability.
• Supporting AI-assisted research features with clean application logic, retrieval workflows, and reliable user experiences.
• Helping engineering and product teams scale Finstock’s platform as the company grows.

What You Will Gain

• Opportunity to build software for an AI-powered financial research and market intelligence platform.
• Direct collaboration with product, engineering, AI, data, and regional analyst teams.
• Exposure to financial market data, research workflows, analytics tools, and AI-assisted product development.
• Remote work with a distributed international team.
• A company email account and access to approved work tools, including Microsoft 365, Outlook, Teams, GitHub, and company-approved productivity tools, subject to internal security and usage policies.
• Opportunity to participate in company offsite activities, including possible Hong Kong offsites, subject to business schedule, travel eligibility, visa/documentation requirements, and company approval. Approved business-related travel, accommodation, and reasonable expenses will be covered by the company.

Important Role Boundaries

This is a software engineering role supporting financial research infrastructure, product systems, and internal engineering workflows.

The role does not require or permit the employee to:

• Provide personalized investment, legal, tax, accounting, or financial advice to users or clients.
• Recommend that any individual buy, sell, or hold a security based on personal circumstances.
• Execute trades or manage client funds.
• Handle client assets, deposits, or payments.
• Promise or imply investment returns, trading profits, or risk-free outcomes.
• Use unauthorized data sources, violate third-party data terms, or bypass licensing restrictions.
• Request applicants to pay any application fee, training fee, software fee, equipment fee, or onboarding fee.

Equal Opportunity Statement

Finstock, Inc. considers qualified applicants based on role-related skills, experience, technical ability, work quality, availability, and applicable engagement requirements. We do not make hiring decisions based on age, gender, gender identity, religion, ethnicity, race, national origin, disability, sexual orientation, marital status, family status, veteran status, or any other status protected by applicable law.