Blackrock
Associate, Capital Deployment & Liquidity Management – Private Financing Solutions
New York, NY
Sponsorship not specifiedDetected 9 days ago
PythonSQLProject ManagementForecastingExcelCollaboration
About the role
- The role will be within our Private Financing Solutions (PFS) team.
- This new platform brings together several leading franchises (private credit, GP/LP solutions, and liquid and private credit CLO businesses) under one structure to serve client needs and deepen our role in the financing ecosystem.
- The Capital Deployment & Liquidity Management team is responsible for implementing investment decisions across credit products, while also providing oversight of the governance model and adherence to BlackRock investment best practices.
Responsibilities
- Develop and maintain relationships with key BlackRock operational professionals (e.g., legal, tax, trading operations, portfolio compliance, pricing, cash ops, operations and fund administration)
- Model, monitor and document portfolio allocations and coordinate internal approvals
- Drive efficient deal execution by coordinating with sponsors, co-lenders, external counsel, agent banks and internal stakeholders
- At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients.
- To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
- 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.
Requirements
- Strong academic background and ideally 2+ years of private markets or credit experience
- Self-motivated with ability to operate with modest oversight
- Candidate must be comfortable owning the spectrum of oversight functions for credit mandates, including portfolio management overlays and operational procedures
- Strong attention to detail and ability to multi-task
- Candidate must be able to collaborate extensively across teams and think innovatively around ways to improve existing processes
- Proficiency in Microsoft Excel, including knowledge of advanced functions (knowledge of VBA is not required, but will be viewed positively)
- Experience with Aladdin software will be viewed positively
- Experience with leveraged finance, direct lending, syndicated loans or public credit closed-ended portfolio management or structured product will be viewed positively
- Experience in Python, R, and SQL will be viewed positively, but not required
- 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.
- Strong organizational and project management skills
Compensation
- For New York, NY Only the salary range for this position is USD$116,000.00 - USD$155,000.00.
Benefits
- Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses.
- 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.
- As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Company info
- At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.
Equal opportunity
- equal opportunity workplace.
- If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com.
Visa & Work Authorization
- on), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicab
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This listing is sourced directly from Blackrock's careers page and normalized into a canonical job model.