Data Engineer, Vice President - Aladdin Financial Engineering

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York
Salary
$170,000–$210,000 / yr
Posted
62 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $190k
$127k most similar roles pay here $223k

This role pays more than 56% of similar roles. Most pay $136,275–$211,200 — the shaded band above. At the midpoint, this role pays about $190k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 82 open roles on FindRole.

Listed pay typically runs $148,000–$200,000 across 81 roles with salary data.

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At a glance

TL;DR · Data Engineer, Vice President - Aladdin Financial Engineering

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Join the Advanced Data Analytics team within Aladdin Financial Engineering’s Single Security division as a Senior Quantitative Data Specialist, working closely with over 300 modelers and technologists. You will focus on structured products, leveraging Big Data technologies such as Snowflake and Databricks to build comprehensive analytics offerings and enhance data governance. Your day-to-day responsibilities include developing predictive models, clustering solutions, and classification systems using Scala, Spark, and Python, while collaborating with investment teams and clients to generate actionable intelligence. This role requires strong analytical skills, experience in ETL processes, and knowledge of financial instruments like bonds and derivatives, as well as proficiency in cloud-managed services such as Databricks.

Skills

Scala Spark Snowflake Databricks Python ETL Cloud Managed Services CI/CD Big Data Technologies Data Platforms Cassandra Functional Programming Statistical Methodologies

What you'll do

  • Develop and maintain predictive models for structured products using advanced analytics.
  • Utilize Big Data technologies and cloud platforms like Snowflake and Databricks for data processing.
  • Collaborate with investment teams to generate research insights and intelligence on public structured products.
  • Apply statistical methodologies and machine learning techniques to enhance financial product analysis.
  • Automate processes and improve efficiency through AI-driven solutions in the analytics space.
  • Serve as a subject matter expert (SME) on structured products, providing specialized knowledge and guidance.

What we're looking for

  • Strong analytical and problem-solving skills with 3+ years of relevant experience.
  • Experience in Scala, functional programming, and leveraging distributed computing frameworks like Spark.
  • Knowledge of ETL processes, data curation, and large enterprise databases such as Snowflake.
  • Understanding of financial instruments including bonds, derivatives, and structured products.
  • Ability to communicate effectively and partner with investment teams and clients.
  • Familiarity with cloud managed services like Databricks (preferred).
  • Bachelor’s or master's degree in computer science with a minor in Math, Econ, or related field.

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