Top Tech Jobs & Startup Jobs

This key sales role involves leading new business development in the Wholesale Sales Department, including managing relationships with distribution partners, securing new mandates, and delivering sales strategies to meet net sales targets.

Produces sustainable investing, voting, climate, ESG, and regulatory reports using data from internal, voting, and third-party platforms. Develops automation tools, supports database management and optimization, maintains auditable process and authorization documentation, and coordinates reporting requirements across investment and client services stakeholders. Contributes to fund screening, exclusion reporting, vendor platform integration, and continuous process improvement while adapting to evolving global regulations and data requirements.

Develop and support complex full-stack applications, with emphasis on Java backend development, databases, web services, APIs, and application security. Responsibilities include requirements analysis, software design, development, unit testing, deployment, backend integration, performance tuning, and customer support. The role may involve AWS development and deployment, global stakeholder collaboration, documentation, and evening shift work two to three days per week.

Develop and support complex full-stack applications, with a focus on Java backend development, databases, web services, APIs, and application security. Responsibilities include requirements analysis, solution design, coding, unit testing, deployment, system integration, performance tuning, and production support. The role supports global partners, requires business English, and includes night-shift work two to three days per week.

Provides senior hands-on engineering and solution architecture for maintaining and modernizing .NET-based trading systems. Responsibilities include legacy codebase assessment, architecture and technical design, refactoring, integration, production support, incident investigation, secure development, automated testing, CI/CD, observability, and technical debt reduction. The role also uses AI-enabled engineering tools for code analysis, remediation, testing, and documentation while coordinating with architecture, product, operations, security, infrastructure, and vendor teams.

Leads investment product development in Japan from ideation and structuring through implementation and launch. Develops product strategies, business cases, fund structures, pricing, distribution policies, and disclosures, with a significant focus on ETFs. Coordinates cross-functional stakeholders across distribution, investment management, legal, compliance, risk, operations, and technology while monitoring market, regulatory, and competitive developments.

Analyze global shareholder meeting agendas, corporate governance, remuneration, and ESG proposals; apply proxy voting policies; prepare voting recommendations; execute accurate and timely votes; coordinate with proxy advisors, custodians, and voting platforms; support stewardship reporting, regulatory disclosures, policy updates, stakeholder engagement, and process improvements.

Supports Fidelity’s Multi Asset investment distribution through client servicing, strategy growth, product activity, and new business generation. Develops investment narratives, pitch books, presentations, reporting, marketing collateral, thought leadership, and RFP/RFI responses. Analyzes fund performance, risk, liquidity, attribution, competitors, and macro sensitivities. Partners with portfolio managers, investment directors, solutions, sales, marketing, and RFP teams to translate complex investment information into clear client-ready communications and identify appropriate cross-asset solutions.

Defines and delivers governed investment data capabilities supporting research, sustainability, analytics, AI, and front-office decision-making. Responsibilities include roadmap and backlog management, stakeholder requirements gathering, data modeling, canonical definitions, lineage, metadata, data quality, stewardship, and enterprise Data Product adoption. The role partners with investment, product, architecture, engineering, and enterprise data teams while supporting Snowflake modernization and scalable cloud data platforms.

Build and operate production-grade data pipelines and AI-ready data foundations for machine learning, LLMs, RAG, semantic search, and agentic workflows. Develop datasets, embeddings, vector indexes, retrieval layers, APIs, metadata structures, and governed data products using Snowflake, AWS, Kafka, Python, Spark, and SQL. Ensure data quality, lineage, security, provenance, observability, and production reliability while collaborating with AI/ML engineers, research analysts, sustainability specialists, and investment stakeholders.