Securitized Analyst
NY7 - 50 Hudson Yards, New York, United States
BlackRock
Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.About this role
Company: BlackRock Financial Management, Inc.
Job Title: Securitized Analyst
Location: 50 Hudson Yards, New York, NY 10001
Job Duties: Conduct in-depth sector and market research on US and European leveraged loans and collateralized loan obligations (CLOs). Develop analytics and data management skills by leveraging state of the art technology, modeling expertise, and a global risk analytics platform. Implement relative value strategies across the capital stack covering both US and European markets and mainly focused on the CLO IG risks. Create systematic leveraged loan screening and surveillance tools used in CLO management capacity. Identify attractive opportunities using relative value processes to optimize for various portfolio metrics by quantitative method. Analyze collateral and debt structures for new issue and secondary CLOs with emphasis on collateral screening and credit risk identification via SQL, Python and R tools. Play a key role on multi-disciplinary project teams including financial experts, market practitioners and technologists, assisting in leading project progress and executing key action items. Build and deploy subject matter expertise across a range of themes in order to help clients achieve their objectives, including sustainability, capital markets, data and analytics, etc. Hone a disciplined advisory approach and flexible delivery model to support our clients.
Qualifications: Bachelor’s degree in Finance, Economics, Data Science, Quantitative Methods, or a related field and two (2) years of experience in the offered role or related role OR a Master’s degree in Finance, Economics, Data Science, Quantitative Methods, or a related field. Requires two (2) years of experience with Bachelor's degree or completion of a university-level course, research project, or internship with Master's degree involving the following: 1. SQL, Python, Java; expertise in Pandas, scikit-learn, matplotlib, PyTorch, CUDA and related tools; 2. Modeling skills, including Intex and Excel and Powerpoint. VBA and Kanerai API. Cashflow modelling fundamentals. Advanced Excel modelling skills to manage the reporting and valuation process for various funds; 3. Data visualization in Tableau; 4. Programing skills in designing and developing complex database code. Experience with AWS and RDS, and Version Control systems like Git; 5. Data structures, data mining, mathematics, and statistical analysis; 6. Machine learning frameworks, including Keras and PyTorch.
To apply, please click “Apply” on this webpage.
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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Credit risk CUDA Data management Data Mining Data visualization Economics Excel Finance Git Java Keras Machine Learning Market research Mathematics Matplotlib Pandas Python PyTorch R Research Scikit-learn SQL Statistics Tableau
Perks/benefits: Career development Flex hours Flex vacation Salary bonus
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