Python Financial Model Engineer, Associate

About this role About Quantitative Analytics Engineering BlackRock is one of the world’s preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions — from fundamental and quantitative active management approaches to highly efficient indexing strategies – BlackRock also provides direct access to its market leading analytic models by onboarding clients to its Aladdin Platform, an end-to-end portfolio management software solution. The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity and performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk. What will you be doing? Our diverse and distributed team has a keen interest and expertise in all things related to technology and financial analytics. We provide the technology platform that enables research, implementation, delivery and execution of financial risk models to our internal partners and external clients, and their integration with Aladdin. We are looking for a self-motivated software engineer to onboard models to said platform. Collaborate with modellers on the implement ation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks. Our team: Is p assionate about technology and solving complex problems. Develop s in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps. Consists of technolog ists that unlock constant innovation. Constantly challeng es the technology status quo and look s for ways to improve the platform. Key Responsibilities W e expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority) : Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts . Work with model l ers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices . Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards. Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform. Enhance the performance of existing models, ensuring they operate efficiently at scale. Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner. Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs. Skillset Strong experience ( 3 years) in Python is crucial Bachelor ’s (BSc) or higher degree in Computer Science or related field Experience with Pandas, Apache Arrow, Snowflake, ( Prefect is a plus) Good understanding of Object-Oriented Design principles Fluency with AI coding tools and the use of LLM in everyday development G ood understanding of fundamental Algorithms and Data Structures Knowledge of Azure DevOps and git , CI/CD Good understanding of unit tests , integration and regression tests, and their importance An a ptitu ... (truncated, view full listing at source)