Python Engineer, Associate - BlackRock Index Services

Description

About this role

Your team

BlackRock Index Services (BIS) is responsible for the design, development, and administration of fixed income, equity, and multi-asset class indices used by internal and external clients. The team is focused on delivering highly accurate, high-quality indices in a timely manner.

Responsibilities

• As a Python Software Engineer within BIS, you will contribute to the development of the next-generation equity, fixed income, and multi-asset index calculation, simulation, and delivery platform. You will work across the software lifecycle, helping build scalable and resilient solutions while contributing ideas that shape the team's technology roadmap and architecture.
• Your responsibilities
• In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
• Design, develop, test, and support enterprise software with a focus on performance, scalability, resilience, usability, and maintainability.
• Contribute ideas to the technology roadmap and translate high-level architecture into component designs and high-quality software.
• Collaborate across a globally distributed team and with Product Management, Equity and Fixed Income Research, Platform Engineering, Data Operations, Production, and Program Management to deliver innovative indices.
• Apply strong attention to quality and problem solving when responding to technical client questions and performing supporting analyses.
• Automate development, testing, deployment, and production operations while modernizing existing code and architectural patterns.
• Your experience
• Python development experience with numerical, statistical, or machine-learning libraries such as pandas, NumPy, SciPy, and CVXPY.
• Experience with relational and non-relational databases, data integration and extract, transform, load (ETL) solutions, and object-relational mapping approaches.
• Experience developing application programming interfaces (APIs) and distributed, cloud-native applications using web services, scalable computing, container orchestration, and event-streaming or messaging technologies.
• Strong software-engineering foundations, including data structures, algorithms, object-oriented design patterns, and Unix/Linux environments; modern JavaScript framework experience is desirable.
• Strong problem-solving and root-cause analysis skills, with experience working in agile software-development environments and modern development, testing, and deployment practices.
• Knowledge of equity, fixed income, and real estate investment, trading, or index ecosystems is desirable; experience with the BlackRock Aladdin platform or integrations with financial-market data, index, trading, clearing, or messaging providers is a plus.
• Bachelor's or master's degree, or equivalent, in a science, technology, engineering, and mathematics (STEM) discipline, with demonstrated enterprise software development experience and strong Python skills, including multithreading and networking frameworks.
• &xa;For Wilmington, DE Only the salary range for this position is USD$115,000.00 - USD$130,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
• Our benefits
• To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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 onboarding experience here at BlackRock.
• Guidance on AI use for candidates
• At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
• About BlackRock
• At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
• This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
• To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .
• BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.