About this role

We are a technology and data driven team building scalable, reliable solutions that support business workflows and platform integrations. The team works at the intersection of engineering, data, and operations, using modern development practices to solve complex problems and enable scale through technology.

This position requires strong programming fundamentals, analytical thinking, and a passion for building maintainable solutions. You will collaborate with engineers and stakeholders across regions to deliver high quality, data driven capabilities.

Role Summary

As an Analyst (Python Developer), you will design and build production quality software and data solutions, contributing across application, service, and data layers. You will help deliver reliable systems, improve operational efficiency through automation, and support data driven decision making.

Key Responsibilities

• Design, develop, test, and support reliable, scalable software applications and services using strong engineering practices.

• Build datacentric solutions (extraction, transformation, validation, orchestration) that power analytics and reporting.

• Develop and maintain APIs and service components, ensuring performance, resilience, and clear documentation.

• Develop and maintain web‑based applications, contributing across presentation, logic, and data layers.

• Support cloud enabled and service-based components, prioritizing reliability, scalability, and operational readiness

• Implement automation, monitoring, and troubleshooting practices to improve stability and reduce operational friction.

• Partner with business and technology stakeholders to translate requirements into effective, scalable solutions.

• Operate in an Agile delivery model, contributing to sprint execution, continuous improvement, and ongoing optimization.

• Work with structured and semi‑structured data to enable data processing, analytics, and reporting needs.

Skills & Qualifications

• 2–5 years of hands-on experience building production-quality solutions using Python.

• Bachelor’s degree in engineering, Computer Science, Mathematics, or a related technical discipline.

• Strong Computer Science fundamentals (data structures, algorithms, logic, and software design principles).

• Experience developing modern web applications using component‑based frameworks.

• Strong database fundamentals and experience with SQL; comfortable working with relational and non-relational data stores and designing efficient data models.

• Familiarity with cloud-oriented architectures, APIs, and distributed systems concepts.

• Experience or exposure to data visualization or reporting tools.

• Bilingual proficiency in English and Spanish (written and spoken).

• Experience in financial services or regulated environments is a plus, but not required.

Core Competencies

• Strong analytical and problem-solving skills with a structured approach to technical challenges.

• Proficiency with common Python data/analytics packages such as Pandas, Num Py, and building lightweight interactive apps (e.g.,Dash-style applications).

• Hands-on experience with cloud infrastructure concepts and services, including compute, managed databases, and serverless patterns (e.g.,AWS RDS/EC2/serverless).

• Familiarity with container packaging and runtime standards(e.g.,OCI), and an understanding of how containerized workloads are built, deployed, and operated.

• Comfortable working independently while collaborating effectively within a team.

• Growth mindset with a strong interest in learning new technologies and improving existing solutions.

• Accountability, ownership, and commitment to delivering reliable outcomes.

• Experience with modern web development concepts is a plus (UI exposure) but not required.

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

Black Rock’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 Black Rock.

About Black Rock

At Black Rock, 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.

For additional information on Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

Black Rock 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.