Data Scientist (VP) at BlackRock

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, Private MarketsIndustries

Requirements

Expertise in data science, machine learning, and AI
Ability to operate as a “full-stack” Data Scientist, taking projects from problem formulation to production
Proficiency in writing quality code to realize models, perform analytics, and draw actionable insights from data
Experience leveraging software development tools and platforms to enable and support solutions
Strong collaboration skills with engineering teams across the business
Capability to lead individual and group projects, driving them towards desired outcomes
Experience forging constructive business relationships with key stakeholders
Ability to prioritize and refine own work and tasks relating to projects
Skills in designing and running focused experiments targeting specific business outcomes
Proficiency in presenting results and recommendations clearly, succinctly, and honestly to various audiences
Ability to use compelling storytelling to contextualize data visualizations/insights and inspire action
Knowledge of exemplifying and demonstrating best-practice data science and machine learning

Responsibilities

Accelerate data collection at scale from millions of sources
Design, build, and deploy workflows at scale that seamlessly combine AI/ML with human expertise
Elevate development standards and empower others to adopt them through reusable services, frameworks, templates, and knowledge sharing
Collaborate with engineering teams across the business to improve time to value and ensure the best options for internal technical solutions are known
Explore new technologies, approaches, and ideas that help drive business goals in unexpected ways
Understand and translate business problems into data science/machine learning solutions
Align desired business outcomes with clear and observable success measures
Determine the value proposition of data science/machine learning solutions versus alternatives
Propose smart, pragmatic, and diverse approaches to address a variety of business problems
Lead individual and group projects, driving them towards the desired outcome
Forge constructive business relationships with key stakeholders
Prioritize and refine own work and tasks relating to the projects led and contributed to
Design and run focused experiments targeting specific business outcomes
Write quality code to realize models, perform analytics, and draw actionable insights from data
Leverage software development tools and platforms to enable and support solutions
Exemplify and demonstrate best-practice data science and machine learning across the business
Present results and recommendations clearly, succinctly, and honestly to a variety of audiences
Use compelling storytelling to contextualize data visualizations/insights and inspire action

Skills

Key technologies and capabilities for this role

Machine LearningAIData EngineeringPlatform EngineeringAuthenticationUser ManagementData ManagementArchitectural OversightAutomation

Questions & Answers

Common questions about this position

What is the salary or compensation for this Data Scientist VP role?

This information is not specified in the job description.

Is this Data Scientist position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for this Data Scientist role?

Key skills include expertise in AI/ML, designing and deploying scalable workflows combining AI/ML with human expertise, data science solutions for business problems, and collaboration with engineering teams on technical solutions.

What is the company culture like for this position at Preqin?

The culture is fast-paced and autonomous, with teams moving fast and independently while contributing to best practices, emphasizing technical excellence, knowledge sharing, and evolving engineering practices.

What makes a strong candidate for this Data Scientist VP role?

Strong candidates can accelerate data collection at scale, design AI/ML workflows, elevate development standards through reusable services and knowledge sharing, collaborate across teams, and explore innovative technologies to drive business goals.

BlackRock

About BlackRock

New York City, New YorkHeadquarters

1988Year Founded

$78,647.7MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

Benefits

Health Insurance

Unlimited Paid Time Off

Mental Health Support

Wellness Program

401(k) Retirement Plan

Risks

FDIC scrutiny could lead to regulatory challenges for BlackRock.

Workforce reduction may indicate internal financial pressures or strategic shifts.

Involvement in Yangzijiang Shipbuilding exposes BlackRock to geopolitical risks.

Differentiation

BlackRock's Bitcoin ETF, IBIT, reached over $50 billion in assets quickly.

The firm is developing a layer-2 tokenized real-world asset platform on Ethereum.

BlackRock's partnership with Frax Finance enhances its stablecoin market presence.

Upsides

IBIT's success attracts a broader range of cryptocurrency investors.

The Ethereum platform positions BlackRock as a leader in blockchain financial services.

Partnership with Frax Finance enhances digital finance offerings and compliance.

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