Data Specialist, Equity Team(Leading Hedgefund)
Data Specialist (Alternative & Investment Data)
Company Overview
Role Overview
Key Responsibilities
- Identify, assess, and prioritise alternative, fundamental, market, and proprietary data sources that can generate value for investment teams.
- Lead engagement with data vendors, including evaluations, commercial negotiations, licensing reviews, and ongoing relationship management.
- Develop and maintain a robust framework for dataset due diligence covering quality, coverage, refresh frequency, licensing, and implementation requirements.
- Evaluate investment research requirements and proactively source data capable of supporting new investment insights.
- Acquire data through multiple channels including third-party vendors, web-sourced datasets, and internal proprietary data assets.
- Standardise and normalise data from diverse providers to improve consistency and usability across research workflows.
- Build and maintain early-stage data ingestion processes using Python, SQL, APIs, and file-based integrations.
- Partner closely with investment professionals to translate research needs into scalable data solutions.
- Identify emerging and niche data providers across Asia and evaluate their potential application within investment research.
- Experience working with alternative data within asset management, hedge funds, investment firms, or data providers.
- Strong understanding of how investment teams consume and apply data within the research process.
- Experience across multiple data domains, including alternative data, fundamental company data, and market data.
- Hands-on familiarity with major financial data platforms and vendors.
- Proven experience managing the full data lifecycle, from sourcing and procurement through integration and operational support.
- Knowledge of data connectivity technologies including APIs, file transfer solutions, and vendor integration tools.
- Strong Python and SQL skills, with the ability to independently build and maintain data pipelines.
- Demonstrated ability to assess data quality, identify signal versus noise, and evaluate long-term dataset value.
- Excellent stakeholder management and communication skills, particularly when engaging investment professionals and external vendors.
- Prior experience within financial services or investment management is essential.
Nice to Have
- Exposure to AI, machine learning, agentic systems, or data platforms supporting AI-driven research workflows.
- Experience collaborating closely with fundamental equity research teams.
- Background in data engineering, data analytics, or alternative data product development.
- Familiarity with Asian markets and regional data ecosystems.
- Mandarin and/or Cantonese language capabilities.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.
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