Elevate your career by joining the world's largest asset manager! Thrive in an environment that fosters positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and effectively engage your involvement in our success.
The Portfolio Analytics Group (PAG) within BlackRock Solutions crafts and delivers Aladdin's® analytical capabilities to help the firm and our clients understand and manage their investments and risk. The Client Business Analytics team within PAG partners with client relationship management teams to provide analytical insights with the goal of accelerating commercial outcomes and developing deeper partnerships with our institutional and retail clients.
The team seeks a Data & Analytics Associate with demonstrated project management skills, who will partner with client teams to advance Aladdin's analytical capabilities and apply them in new and innovative ways. This position involves working in a team environment to oversee and execute on projects and custom analyses to help our clients. Team members leverage a broad understanding of finance, clients, and technology to partner with teams across BlackRock to solve business problems.
Leverage a deep knowledge of institutional clients and BlackRock products to develop client-focused solutions in Aladdin
Collaborate with the client relationship management teams and client strategists to develop analytical insights and solutions to enable sales and deepen relationships with clients
Leverage trending technology and modern data science techniques to draw insights from data and analytics
Develop new sales enablement capabilities and light applications to deliver high impact analytic solutions
Independently manage large cross functional projects across multiple internal teams and regions
Proactively identify opportunities to streamline and enhance business processes using Aladdin analytics, data and technology
4+ years of experience in an analytical role in a technology or financial services setting
Creativity in solving complex problems, with a constant desire to learn new skills and technologies
Demonstrated applied technical skills in SQL, Python, R, Linux, with Data Science experience preferred
Proven ability to deliver on short and long-term projects while gaining buy-in from partner teams and managing stakeholder expectations
Project management experience and ability to navigate a matrix organization
Excellent communication and presentation skills with the ability to convey complex concepts simply and clearly
Preferred Bachelor's or Master's degree in Finance, Economics, Data Science, Statistics, Operations Research, or other quantitative discipline
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.
BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of June 30, 2020, the firm managed approximately $7.32 trillion in assets on behalf of investors worldwide.
For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @blackrock | Blog: www.blackrockblog.com | 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.