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Senior Data Analyst


A renowned investment management firm with a global presence, dedicated to delivering excellence to their clients. With offices across various international hubs, we manage substantial assets on behalf of a diverse clientele, including pension funds, endowments, foundations, governments, and other investors.

Position Overview:

This role revolves around constructing and maintaining systems that acquire, validate, and process critical data supporting our investment strategies. Furthermore, you’ll play a key role in enhancing tools that underpin our portfolio management lifecycle, from model development and order generation to performance analysis and reporting.

What You Will Accomplish:

  • Devise and implement data systems to source, validate, cleanse, and process data integral to credit models, portfolio creation, trading, and reporting.
  • Collaborate with portfolio managers, researchers, and traders to pinpoint novel data sources and establish data pipelines driving investment decisions.
  • Continuously refine and optimize data pipelines to enhance overall performance.
  • Engineer robust, well-tested solutions that align with high quality and scalability standards.
  • Collaborate within a team to manage daily investment process systems and production tasks.
  • Contribute to architectural design discussions for data systems and visualization strategies.

Our Ideal Teammate Will Have:

  • A Bachelor’s degree in a relevant field, coupled with 3+ years of software development experience in a professional context; CFA charter would be advantageous.
  • Exceptional attention to detail and an inherent drive to rectify data imperfections autonomously.
  • Proficiency in data analysis using Python, Pandas, and SQL.
  • Proficiency in programmatic data visualization, whether through web interfaces, BI platforms, or Python notebooks.
  • Sound understanding of multi-asset class data sequences and expertise in operating data delivery platforms.
  • Familiarity with industry-standard investment tools like Bloomberg, Refinitiv, and FactSet.
  • Proficiency in data modeling, as well as process and management modeling, and data profiling.
  • Strong analytical skills, complemented by the ability to express methodologies and outcomes verbally, graphically, and in writing.
  • A creative, enthusiastic, and collaborative mindset, enabling you to excel in a self-driven environment.
  • The determination and humility to execute high-impact projects while maintaining a hands-on approach.

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