Machine Learning Researcher


Company Type

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of December 31, 2017, the firm managed approximately $6.288 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit | Twitter: @blackrock | Blog: | LinkedIn:

Job Description:

Background and Responsibilities

BlackRock Solutions (BRS) maintains a global team of financial modeling professionals, known as the Financial Modeling Group (“FMG”), which is responsible for the ongoing research and development of all analytics underlying Aladdin. FMG’s mandate to deliver robust, scalable models and solutions requires a close working relationship with Risk and Quantitative Analysis (RQA), the global investment teams and the Aladdin Product Group.

The candidate will be a key member of the FMG Advanced Data Analytics group in New York. The candidate will be performing machine learning research and creating tools and solutions in the finance space that can help our clients with their investment decisions. The position is for an experienced individual in the field of machine learning research with a focus on deep learning. In addition to providing subject matter expertise and the candidate should be comfortable with multiple programming languages and multiple frameworks and technologies to support the modeling requirements of the diverse nature and demands of the team.

Minimum Qualifications:

  • Advanced (graduate level) degree in computer science, electrical engineering, statistics, applied mathematics, operation research, or related field
  • Strong expertise in deep learning with solid understanding of different types of neural networks
  • Experience in applying deep learning to natural language processing, data mining, information theory, etc
  • Proficient in programming in two or more languages such as: Python, R, Lua, etc
  • Proven experience with major deep learning libraries (e.g. TensorFlow, PyTorch, Caffe…)
  • Strong communication skills; ready to face off with finance and business subject matter experts on challenging problems
  • Team-oriented, innovative, performance-driven, intellectually curious, and fiduciary mindset

Preferred Qualifications:

  • Ph.D. with publication or contribution to open source project in fields above
  • Experience with cloud platforms
  • Knowledge of parallel computing and distributed system (e.g. Hadoop, Spark, …)
  • Experience with GPU (CUDA) programming
  • Knowledge of economics and finance

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, disability, veteran status, and other statuses protected by law.

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Confirmed 21 hours ago. Posted 30+ days ago.

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