Note: The job is a remote job and is open to candidates in USA. Finstock, Inc. builds AI-powered financial research and market intelligence tools. They are seeking a Software Engineer to help build, maintain, and scale their financial research and market intelligence platform, collaborating with various teams to deliver reliable software.
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
Skills
- 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
- 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
Benefits
- 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.
Company Overview