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Investment Product Strategist (Python), Equities, Associate

BlackRock

Investment Product Strategist (Python), Equities, Associate

BlackRock

Gurgaon, India

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

401(k)

Learning Budget

Healthcare

Flexible Hours

Parental Leave

Mental Health

Unlimited PTO

401k

Learning

Healthcare

Flexible Hours

Parental Leave

Mental Health

Unlimited Pto

Required Skills

Python

SQL

Data Analysis

Automation

Full-stack Development

Communication

Problem-solving

Excel

PowerPoint

Word

About this role

Role Overview

We are seeking a highly skilled and motivated Data Lead to join Black Rock’s Fundamental Equity Product Strategy team. This role is designed for a technologist with a passion for automation, data-driven process improvement, and strategic product management. The successful candidate will primarily focus on developing and implementing automation solutions to improve team efficiency, while also contributing to core product strategy responsibilities over time.

Key Responsibilities Automation Development & Implementation Identify, design, and build automations to streamline reporting, data management, and client collateral production.

Examples of automations may include:

  • Support workflow and automation initiatives: Identify process improvements and develop scalable tools to enhance team productivity. Automate data extraction and aggregation from platforms such as Bloomberg, Fact Set, Morningstar, and Aladdin. Streamline the generation and distribution of client presentations, factsheets, and commentaries.

  • Assist with business intelligence and analytics: consolidating data and drive insights into sector trends and competitor insights such as (flows, performance, market share) to inform sector team decisions and executive communications

  • Maintain and enhance reports and dashboards (Morningstar, e Vestment, Fact Set, Power BI) for management and performance tracking.

  • Integration of new AI tools and data vendors to improve analytics and insights

  • Execute and coordinate cross-functional projects: partner with FE product strategy platform team and broader Black Rock data leads to proactively identify successful initiatives that can be implemented into team workflows.

  • Proactively seek opportunities to further streamline processes and drive automation processes to completion.

Tech Ecosystem Ownership

  • Lead the expansion and integration of the team’s technology stack, ensuring seamless workflows and data accessibility.

  • Act as a technology ambassador, sharing best practices and driving innovation across the Fundamental Equities division.

  • Continuously evaluate and demo new tools, data vendors, and AI products to keep the team at the forefront of technology.

Product Strategy

  • Develop in-depth knowledge of equity markets, products, and investment processes.

  • Assist senior Product Strategists by delivering bespoke materials, performance and competitor analytics.

  • Help with production of standard client collateral such as presentations, factsheets, and commentaries.

  • Respond to client and prospect inquiries, support RFI/DDQ production while proactively identifying ways to implement automation opportunities.

Reporting & Analytics

  • Collate and analyze performance attribution, exposure, AUM, and flows data.

  • Build and maintain database reports (e.g., Morningstar, e Vestment, Fact Set).

  • Support innovation projects focused on efficiency gains and generating further insights.

Qualifications

  • 3+ years in financial services, preferably with a focus on equity markets and technology-driven process improvement

  • Experience in full-stack development, with expertise in both front-end and back-end technologies

  • Strong proficiency in Python, SQL, and modern database technologies (Snowflake, Azure, GCP).

  • Familiarity with front-end and visualization frameworks such as Tableau, Streamlit, JavaScript, React, or Flask/Dash is an advantage.

  • Advanced proficiency in MS Office applications, particularly Word, PowerPoint, Excel, and Co-Pilot; Tableau and PowerBI are a plus

  • Experience with tools like Fact Set and Bloomberg is highly desirable

  • Excellent communication skills across both verbal and written mediums; fluency in English is essential

  • Demonstrated ability to collaborate across teams and functions, with an entrepreneurial approach to problem-solving

  • Strong attention to detail, ability to multitask, and a proactive, problem-solving attitude

  • A keen eye for design, openness to feedback, and humility in all interactions

  • Deep passion for technology and a relentless drive to be at the cutting edge of AI and data science

Perks & Development:

Impact & Pride: Contribute to analytics and automation that underpin over $100B in AUM and support meetings with global CEOs and investment clients.
Learning: Participate in market updates, collaborate across business functions, and learn about the product life cycle.

Growth & Education: Receive coaching from a team that engages with the largest tech and AI companies globally.

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

Black Rock’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 Black Rock.

About Black Rock

At Black Rock, 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 Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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About BlackRock

BlackRock

BlackRock

Public

Multinational investment company.

10,001+

Employees

New York City

Headquarters

Reviews

3.5

5 reviews

Work Life Balance

2.2

Compensation

3.5

Culture

3.0

Career

4.2

Management

2.8

Pros

Fast-paced learning and development opportunities

Advanced technology and global platform

Good benefits and retirement packages

Cons

Poor work-life balance

High stress and competitive environment

Toxic work culture in some areas

Salary Ranges

7,021 data points

Junior/L3

L2

L3

L4

L5

L6

Junior/L3 · Analyst

1,924 reports

$118,963

total / year

Base

$100,050

Stock

-

Bonus

$18,913

$81,954

$175,627

Interview Experience

6 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

17%

Interview Process

1

HireVue

2

Online Assessment

3

Final Round/Superday

Common Questions

Technical interviews

Behavioral questions

Role-specific assessments