Global Allocation AI Engineer, Vice President at BlackRock

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Asset Management, Finance, Investment ManagementIndustries

Requirements

B.S./M.S./PhD. degree in Computer Science, Engineering, or a related subject area with 4+ years of proven experience, or equivalent experience
A passion for algorithmic development and implementation, and a keen attention to detail
Excellent knowledge of Python, Java or C/C++
Experience building applications using LLM frameworks
Experience with ML model training and fine-tuning
Experience in distributed computing and the use of GPUs
The desire to work in a team environment with investors of many different backgrounds
Experience working in Agile development teams with excellent collaboration skills

Responsibilities

Collaborate with portfolio managers and analysts to research and implement comprehensive AI/ML-based solutions from start to finish
Design and develop methods, processes, and systems to consolidate and analyze unstructured and diverse data sources to generate actionable insights and investment recommendations
Develop systematic alpha strategies for single name equity selection, asset allocation, fixed income, and cryptocurrencies
Integrate new AI services across the platform
Work with different datasets and run algorithms on large size data effectively and efficiently, staying up to date with all the latest cutting-edge technologies

Skills

Key technologies and capabilities for this role

AIMachine LearningMathematical ModelingData ProcessingAlgorithm DevelopmentUnstructured Data AnalysisSystematic Strategies

Questions & Answers

Common questions about this position

What education and experience are required for this AI Engineer role?

Candidates need a B.S./M.S./PhD. in Computer Science, Engineering, or a related field with 4+ years of proven experience or equivalent. Key experiences include building applications using LLM frameworks, ML model training and fine-tuning, distributed computing with GPUs, and working in Agile teams.

What programming languages and technical skills are needed?

Excellent knowledge of Python, Java, or C/C++ is required, along with experience in algorithmic development, handling large datasets, distributed computing, GPUs, LLM frameworks, and ML model training.

What is the compensation or salary for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What kind of team environment can I expect at BlackRock's Global Allocation team?

The role involves working in a team environment with investors from many different backgrounds, using a multi-disciplinary approach intersecting finance, economics, data, and computer science, with excellent collaboration in Agile development teams.