About this role

Seeking an energetic professional to work with US-based US Wealth Advisory. This role is a part of dynamic and rapidly evolving team responsible for data analytics, quantitative analysis and research, and scalable automated options trading. This position requires solid hands-on programming, creative problem solving, troubleshooting skills, and an enthusiasm for learning. This role also offers the opportunity to partner with proficient software engineers to build new systems and enhance existing ones.

Key Responsibilities:

• Designing, coding, testing, and supporting reliable, robust software applications and services with high-quality standards
• Participating actively in cross-functional feature requirements gathering, design, and implementation
• Collaborating with product management on the right units of work to include in each development sprint
• Performing code reviews and providing timely feedback to other engineers

Key Qualifications:

• Bachelor’s degree or Master’s degree in Computer Science or Engineering preferred
• 2 years of hands-on Python experience.
• Experience using Pandas data frames to manipulate and aggregate data sets
• Managing python environments
• Data manipulation and quantitative calculations
• GIT based repositories
• Proven ability to work with varied forms of data infrastructure including relational databases; distributed data processing and storage solutions, e.g. SQL, MySQL
• Proficiency building and passionate about creating great products that solve big problems
• Financial knowledge and interest is recommended
• Strong teamwork, communication skills and time management abilities

Useful Qualifications:

• Experience with Amazon Web Services (AWS) particularly, RDS, EC2, serverless lambdas and the API gateway
• Experience with Docker or other container infrastructures

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.

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.

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

BlackRock is proud to be an Equal Opportunity and Affirmative Action 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.

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.