Top Tech Jobs & Startup Jobs

Onboard institutional clients by configuring portfolio hierarchies, fund manifests, historical accounting data, liquidity terms, and accounting feeds. Validate investment data, investigate discrepancies, document processes, coordinate deadlines, answer client questions, and prepare client-specific materials. Collaborate with data engineering, development, and client solutions teams on feeds, platform issues, and client requests. Train new employees on data team processes while managing multiple priorities and tight reporting deadlines.

Lead end-to-end recruitment across Bulgaria and EMEA, sourcing and hiring talent across sales, research, technology, and operations. Build proactive talent pipelines, advise business stakeholders, use market intelligence and recruitment metrics to shape hiring strategies, and improve AI-enabled recruiting processes. Manage internal and external relationships while championing MSCI’s values and delivering a strong candidate and hiring-manager experience.

Lead institutional sales and revenue growth for MSCI in India. Manage relationships with asset managers, banks, insurers, and pension funds; develop account plans; customize solutions; lead proposal-to-onboarding sales cycles; achieve regional targets; collaborate with product, research, marketing, legal, operations, and client service teams; and maintain Salesforce data, forecasts, and reporting.

Designs, develops, enhances, and supports SAP ABAP solutions, including reports, interfaces, forms, workflows, enhancements, and integrations. Builds OData services, CDS views, and AMDPs for S/4HANA environments; prepares technical designs, estimates effort, performs code reviews and performance tuning, and supports testing, deployments, upgrades, migrations, and production issue resolution. Collaborates with functional consultants and technical teams across SAP modules.

Coordinate client onboarding projects, build portfolio hierarchies and fund manifests, integrate historical accounting data, validate financial data, and resolve discrepancies. Communicate with clients about deadlines and deliverables, maintain project documentation, prepare client materials, train new employees, and collaborate with data engineering, development, and client solutions teams on feeds, requests, and platform issues.

Support the discovery, development, launch, and enhancement of AI-enabled private markets products. Responsibilities include market and competitor analysis, business case development, buy-build-partner evaluation, pricing, go-to-market coordination, product prioritization, usage analytics, management reporting, strategic client support, and AI prototype design. The role requires building expertise in generative and agentic AI while collaborating with product, technology, data, marketing, program management, sales, and client coverage teams.

Manage APAC corporate action implementation for MSCI equity indexes, ensuring accurate treatment of events such as mergers, spin-offs, bankruptcies, splits, rights offerings, and dividends. Lead teams in Shanghai and Mumbai, oversee client servicing and announcements, participate in methodology decisions, improve processes and applications, and support rebalancing and new product launches. Apply AI-assisted tools for research, validation, documentation, automation, quality checks, and anomaly detection while maintaining governance and risk standards.

Lead the end-to-end lifecycle of Real Assets infrastructure products, including market research, client discovery, product strategy, pricing, profitability, requirements, prioritization, development, launches, and go-to-market planning. Develop new products, indexes, and data partnerships while coordinating with research, engineering, data operations, program management, and sales. Manage strategic business development initiatives, client delivery, commercial packaging, product-market fit, and revenue and profitability growth.

Drive adoption and commercial growth of MSCI indexes across wealth management firms, ETFs, Direct Index SMAs, and model portfolios in the Western United States. Build senior relationships with investment and product leaders, explain index methodologies and applications, support ETF and SMA launches, originate subscription and analytics opportunities, and use data, analytics, and AI-enabled tools to improve client engagement.

Build Python automation and AI-assisted workflows for climate and ESG data collection, transformation, quality assurance, anomaly detection, and reporting. Integrate LLM tools into operational processes, validate outputs, maintain dashboards, resolve data integrity issues, document improvements, and train analysts. The role supports scalable, auditable data operations across global company disclosures, vendor feeds, and public filings.