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.
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.