Quick summary
- Work type
- Hybrid
- Location
- New York, NY
- Salary
- $150,600–$170,000 / yr
- Posted
- 6 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $107,500–$170,000 — the shaded band above. At the midpoint, this role pays about $160k versus about $139k for comparable roles.
Based on 240 similar postings.
Employer
About Blackrock
BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services
Blackrock currently has 86 open roles on FindRole.
Listed pay typically runs $148,000–$190,000 across 83 roles with salary data.
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At a glance
TL;DR · Associate
As an Associate at BlackRock, you will join the credit modeling team and play a crucial role in developing and maintaining the company’s comprehensive suite of credit risk models for corporate bonds, municipal bonds, and private credit. Your responsibilities include overseeing the entire lifecycle of these models from development through validation and implementation, staying abreast of academic research and industry trends to drive innovation with advanced techniques like AI/ML and automation. You will present model methodologies and findings to Model Approval Committees and collaborate closely with portfolio managers, analysts, and risk managers to ensure alignment with their needs. Additionally, you will integrate model analytics into user-facing tools within Aladdin and serve as a thought leader in client engagements and internal forums. The ideal candidate has a Master’s degree in Financial Engineering or related field and 24 months of experience in credit modeling methodologies, programming in Python, R, C++, statistical computing, econometric analysis, and machine learning.
Skills
What you'll do
- Develop and maintain credit risk models for corporate, municipal, and private bonds.
- Implement and monitor the performance of credit risk models throughout their lifecycle.
- Adopt AI/ML techniques and alternative data sources to enhance model accuracy.
- Present model methodologies and findings to Model Approval Committees for approval.
- Collaborate with portfolio managers and analysts to align models with business needs.
What we're looking for
- Master's degree in Financial Engineering, Quantitative Finance, or related field.
- 2 years of experience in credit modeling methodologies including Merton-type frameworks and Monte Carlo simulations.
- Proficient in Python, R, C++, SQL, Java, and machine learning techniques.
- Experience with statistical computing, econometric analysis, and model deployment.
- Expertise in corporate finance, bond valuation, risk assessment, and loan underwriting.
- Ability to engage with clients and convey analytical insights for strategic decision-making.
- Knowledge of financial market dynamics and integration of quantitative insights into real-world contexts.
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