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BlackRock

Data Scientist - Client Intelligence Platform AI, Associate

Posted 5 Hours Ago
New York, NY
133K-162K Annually
Senior level
New York, NY
133K-162K Annually
Senior level
The Data Scientist will create data-driven solutions to enhance sales and client experiences, collaborate with engineering teams, and utilize AI techniques for insights.
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About this role

Who we are:

At BlackRock, we are passionate about technology. We leverage technology to develop actionable solutions that increase productivity, efficiency, and revenues of our sales, service, and product strategy teams.

The role requires working closely with the client business, as well as engineering and product management teams to ensure that data-driven solutions are delivered systematically and with the highest impact. 

You will also partner with internal technology teams on infrastructure, tools, processes, standards, and development, as well as other AI teams across the organization.

The successful candidate will have a passion for technology, comfort working across a range of technology capabilities, including databases, software, and infrastructure, and a love of solving complex problems.

Responsibilities:

  • Create data-driven solutions to forecast, analyze and provide recommendations that A) generate sales alpha and identify cross-sell/up-sell opportunities, and B) improve the client experience.

  • Deliver Gen AI enabled first-drafts and a chatbot experience to improve the productivity, effectiveness, and strategy of our relationship managers, product teams, COO partners and chiefs of staff.

  • Use cutting-edge tools and AI techniques, including both traditional ML and Gen AI, to implement models and insights into products and services.

  • Collaborate with other data scientists and AI engineers across the firm on best practices, code review, internal tools, and process improvements

You should have:

  • Bachelor's degree required, Master's degree preferred, in a quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related discipline)

  • Asset management / finance work experience

  • Minimum 5+ years work experience with being a Technical Lead / Manager a plus

  • Intellectual curiosity and a passion for data and emerging technology is a must

  • Highly quantitative, with a keen eye for teasing out insights from volumes of data

  • Ability to collaborate and present insights to internal stakeholders

  • Strong team player

  • Technology-savvy and ability to work in multiple systems and languages

  • Knowledge of model and algorithm development (mathematical and statistical knowledge)

  • Knowledge of NLP and Gen AI

  • Proficiency in SQL and Python for programming, data analysis, and modelling

  • Experience of developing solutions such as databases, API’s to both source and provide data, and automation a plus


 

For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.


 

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. 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. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. 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.

This mission would not be possible without our smartest investment – the one we make in our employees. 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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), 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 applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

 

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Top Skills

APIs
Databases
Gen Ai
Machine Learning
Nlp
Python
SQL

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