Job Overview

Location
Gurugram, Haryana
Job Type
Full Time
Date Posted
11 months ago

Additional Details

Job ID
23080
Job Views
264

Job Description

Key Responsibilities:

  • Responsible for maintaining, designing, and optimizing complex data solutions for BlackRock's Fundamental Equity team.
  • Make enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating ad-hoc or manual operation steps)
  • Actively document code and log scheduled processes.
  • Own the data quality of key datasets and any new changes/enhancements.
  • Support quantitative research processes including optimization and stock screening.
  • As a problem solver, seek out opportunities and propose solutions to meet deadlines in a fast-paced environment.
  • Make appropriate trade-offs, re-use where possible, and be judicious about introducing dependencies.

Qualifications:

  • Around 4-6 years of work experience, preferably with high-reliability analytical processes within financial services
  • Experience building data ingestion and transformation pipelines (ETL) and be able to design processes to extract and optimize data efficiently.
  • Experience with complex queries to read, write, and optimize on large relational databases.
  • Capable of defining own design and test scenarios
  • Knowledgeable about data mining, data analytics, data modeling

Skills and Experience:

  • High proficiency in Python and SQL with ability to make efficient design choices.
  • Solid foundational understanding of statistical analysis; SAS proficiency is a plus.
  • Familiarity with Copilot tools is a plus.
  • Able to explain complex technical concepts in plain language to nontechnical audience.
  • Highly motivated & determined with the ability to work independently and self-learn.
  • Superb attention to detail & passion for data, preferably financial market data
  • Work closely with a small team as well as more broadly within an organization where information-sharing is critical to the success of all teams across asset classes.

Educational Qualifications:

  • Computer Science degree/STEM background from a reputed university

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.

Qualification

Any Graduate

Experience Requirements

Freshers, Experienced

Location

Similar Jobs

Full Time

Vanguard

Data Analyst

Full Time

Stripe

Data Analyst

Full Time

Caterpillar

Data Scientist

Full Time

Cookies

This website uses cookies to ensure you get the best experience on our website. Cookie Policy

Accept