Data Scientist Investments Analyst
Data Scientist Investments Analyst
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Job Description
About this role
About BlackRock
BlackRock is one of the worlds preeminent asset management firms and a premier provider of global investment management risk management and advisory services to institutional intermediary and individual investors around the world. BlackRock offers a range of solutions from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the worlds capital markets. Our clients can access our investment solutions through a variety of product structures including individual and institutional separate accounts mutual funds and other pooled investment vehicles and the industryleading iShares ETFs.
Elevate your career by joining the worlds largest asset manager! Thrive in an environment that cultivates 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 actively engage your involvement in our success.
About BlackRock US Municipals Group
The Municipal Fixed Income business in BlackRocks Portfolio Management Group is one of the largest managers of municipal securities in the industry with over $159 billion of assets under management. The platform offers a broad array of investment choices including mandates focused on both taxable and taxexempt bonds.
BlackRocks Municipal Team seeks an analyst to join as a Python Developer/Engineer & Data Scientist who will have close daily interaction with the investment professionals on the Municipals team.
Responsibilities:
- Partner with credit research analysts portfolio managers and traders to introduce new technologies to the Municipal Bond investment process
- Serve as a key contributor for scaling our current investment process and creating new investment solutions
- Develop software solutions primarily in Python and SQL
- Create and maintain interactive dashboards to effectively communicate data insights and support decisionmaking processes
- Provide and maintain clear and accurate documentation on tools
- Provide ongoing support on solutions and tools as the project matter expert
- Identify and implement improvements to municipal data quality to drive operational efficiencies and build scale in the municipal business
Qualifications:
- Education: Bachelors in Computer Science Engineering Data Science or related field; advanced degrees or certifications are a plus
- 13 years of relevant experience
- Excellent communication and interpersonal skills
- Proficiency in Python and SQL; experience with additional programming languages is a plus
- Experience with concepts of Machine Learning Natural language processing and GenAI
- Experience/Familiarity with databases and cloud data platforms such as Snowflake and Google Cloud
- Proficient in Power BI Tableau or other tools to build interactive
- Strong problemsolving and analytical skills with flexibility to adapt to new technologies
- Familiarity with best practices for collaborative development and code review processes
- Proficient in using Git for version control including creating and managing repositories branching merging and resolving conflicts
- Demonstrated interest in learning about GenAI and its applications in Fixed Income
- Strong interest in Fixed Income markets
Skills that would be a plus:
- Ability to apply mathematics machine learning or quantitative analysis to solve sophisticated problems and deliver innovative solutions with a keen attention to detail
- Experience with Python tools like Streamlit or similar frameworks to build data apps
- Knowledge of machine learning natural language processing data analytics and data modeling
- Familiarity with Azure DevOps (ADO) for managing projects and automating software development tasks
- Fixed Income experience
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
BlackRocks 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 wellbeing. Our clients and the people they serve are saving for retirement paying for their childrens 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. Its why were 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/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age disability family status gender identity race religion sex sexual orientation and other protected attributes at law.
Required Experience:
IC
Employment Type
Full-Time
