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,intermediaryand 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,complianceand trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk,liquidityand performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on modelsmaintainedby QAE toidentifyinvestment opportunities, build portfolios and manage risk.
What will you be doing?
Our diverse and distributed team has a keen interest andexpertisein all things related to technology and financial analytics. Weprovidethe technology platform that enables research, implementation,deliveryand execution of financial risk models to our internal partners and external clients, and their integration with Aladdin.
We are looking for self-motivatedleadsoftware engineer tospearhead the development ofsaid platform. Wemaintaina set of Python libraries, both internal and soon-to-be open source, that allows modellers to research, implement and run financial risk models. We alsomaintainand advise our users on our Model SDLC that heavily relies on the Aladdin Engineering SDLC. To design, implement andmaintainthis platform, we are looking for an individual with experience and interest in Python library development, Azure DevOps, Apache Arrow and potentially Snowflake for data warehousing and computation.
Our team is:
Passionate about technology and solving complex problems.
Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.
Comprised of technology leaders that unlock constant innovation.
Constantly challenges the technology status quo and looks for ways to improve the platform.
Key Responsibilities
We expect the role to involve the following core responsibilities and would expect a successful candidate to be able todemonstrateskills or experience with the following (not in order of priority):
Quickly learn the platform and act as a subject matter expert towards modelling teams.
Lead platform development supporting both financial engineers and researchers.
Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
Build widely used and reliable fundamental components as part of the platform, distributed as Python libraries.
Build high quality software that improves the user experience of the downstream modeller and developer.
Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.
Working with modellers to understand the business and their requirements. Help refactor and optimise the risk model code.
Enhance the performance of existing models, ensuring theyoperateefficiently 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 (5+ years) in Python is crucial
Bachelor's (BSc) or higher degree in Computer Science or equivalent field
Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)
Good understanding of Object-Oriented Design principles
Good 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 aptitude for designing data models andpipelines is desirable
Experience managing a team of developers is a huge plus
Fluency in reading,writingand speaking English
Personal Qualities
Team player
Problem-solving skills
Critical and analytical thinking
Technical curiosity
Adaptable
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and
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