6 hours ago

Vice President, Financial Model Engineer

BlackRock

On Site
Full Time
$180,000
Mumbai, Maharashtra, India

Job Overview

Job TitleVice President, Financial Model Engineer
Job TypeFull Time
Offered Salary$180,000
LocationMumbai, Maharashtra, India

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Job Description

About This Role

BlackRock is seeking a Vice President, Financial Model Engineer to join the Python Engineering team within the Quantitative Analytics Engineering group. This role involves developing production-grade analytics, data pipelines, and models on the Python Production Platform (PPP), with a specific focus on Pre-IPO analytics, Index creation, and Alternatives modeling.

The Vice President, Financial Model Engineer will collaborate directly with local leads and global engineering, research, and product teams to drive innovation in financial modeling.

Key Responsibilities

  • Develop and maintain Python-based analytical models for Pre-IPO, Indexing, and Alternatives.
  • Build scalable, reliable pipelines using PPP, Prefect, containers, and internal tooling.
  • Implement rules-based index methodologies, rebalancing logic, and simulation engines.
  • Contribute to Real Estate / Private Equity / Alts frameworks (NAV, liquidity, flows, attribution).
  • Design robust data ingestion & validation workflows across internal and external datasets.
  • Own end-to-end delivery: requirements, development, testing, documentation, deployment.
  • Drive engineering best practices and mentor junior developers.

Required Experience & Skills

  • 6–8 years of hands-on experience in Python engineering or quantitative analytics.
  • Strong command of Python, data manipulation libraries, and production code patterns.
  • Experience with workflow orchestrators (Prefect, Airflow) or distributed compute.
  • Understanding of financial analytics: Indexing, private markets, or alternatives preferred.
  • Strong debugging, testing, and documentation habits.
  • Ability to work with global cross-functional teams.

Preferred Skills

  • Knowledge of investment analytics, time-series analysis, or quant research.
  • Familiarity with containers, GitHub, CI/CD, or cloud frameworks.
  • CFA/FRM progress or interest in financial domain.

Our Benefits

BlackRock offers a comprehensive range of benefits to support employee well-being, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO).

Our Hybrid Work Model

BlackRock operates a hybrid work model requiring employees to work at least 4 days per week in the office, with 1 day flexible. This model fosters collaboration, apprenticeship, and accelerates learning for new joiners.

About BlackRock

BlackRock is dedicated to helping people achieve financial well-being. The firm's mission is supported by investments that strengthen the global economy, finance infrastructure, and drive innovation. BlackRock prioritizes its employees, offering a supportive environment with networks, benefits, and development opportunities.

Key skills/competency

  • Python Engineering
  • Quantitative Analytics
  • Financial Modeling
  • Data Pipelines
  • Prefect/Airflow
  • Pre-IPO Analytics
  • Indexing Methodologies
  • Alternatives Modeling
  • Distributed Compute
  • Investment Analytics

Tags:

Financial Model Engineer
Financial Modeling
Quantitative Analytics
Data Pipelines
Python Development
Index Creation
Alternatives Modeling
Software Engineering
System Design
Mentorship
Project Delivery
Python
Prefect
Airflow
Containers
GitHub
CI/CD
Cloud
Distributed Compute
Pandas
Numpy

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How to Get Hired at BlackRock

  • Research BlackRock's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application with their ethos.
  • Tailor your resume: Customize your resume to highlight experience in Python engineering, quantitative analytics, financial modeling, and data pipelines, directly addressing the Vice President, Financial Model Engineer requirements.
  • Showcase technical expertise: Prepare to discuss your hands-on experience with Python, data manipulation libraries, workflow orchestrators like Prefect or Airflow, and financial analytics concepts.
  • Understand financial markets: Demonstrate a solid grasp of indexing, private markets, or alternative investments. Mention any CFA/FRM progress or strong interest in financial domain.
  • Highlight problem-solving and collaboration: Be ready to share examples of how you've owned end-to-end delivery, driven best practices, and collaborated effectively in global, cross-functional teams.

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