Data Engineer, Vice President - Aladdin Financial Engineering

Blackrock

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $170,000–$210,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $190k

$131k most similar roles pay here $220k

This role pays more than 64% of similar roles. Most pay $139,500–$211,200 — the shaded band above. At the midpoint, this role pays about $190k versus about $175k 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 83 open roles on FindRole.

Listed pay typically runs $147,750–$195,000 across 82 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 group as a Senior Quantitative Data Specialist, working closely with over 300 modelers and technologists. This role involves leveraging big data technologies like Snowflake and Databricks to build comprehensive analytics offerings for structured products, enhancing data governance, and developing predictive models using AI and statistical methodologies. You will partner with investment teams and clients to generate investment intelligence, focusing on public structured products while contributing as a subject matter expert in this domain. The ideal candidate has strong analytical skills, experience in Python and Scala, knowledge of ETL processes, and familiarity with distributed computing frameworks and large-scale data analytics engines. This position requires expertise in financial instruments and statistical methodologies, along with a background in Computer Science or related field and at least 6 years of relevant industry experience.

Skills

Python Scala Snowflake Databricks ETL NoSQL Cloud-managed services Dataproc CI/CD Big Data technologies Kubernetes Terraform AWS Azure

What you'll do

Develop comprehensive analytics offerings for structured products using advanced data technologies.
Build predictive models and classification solutions leveraging AI and big data platforms.
Partner with investment teams to generate intelligence on public structured products.
Enhance governance frameworks by applying statistical methodologies and data insights.
Utilize Snowflake, Databricks, and other cloud-managed services for large-scale analytics.

What we're looking for

Strong analytical and problem-solving skills with experience in Python, Scala, and functional programming.
Knowledge of ETL processes, data curation, and large-scale data analytics engines like Snowflake and Databricks.
Experience working with distributed computing frameworks and cloud-managed services such as Dataproc and Databricks.
Understanding of financial instruments including bonds, derivatives, and structured products.
Bachelor’s or Master’s degree in Computer Science or a related field with a minor in Math, Economics.
6+ years of relevant experience in data analytics and financial modeling.

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