Lead, Quantitative Engineering & Forecasting

Goldman Sachs Group; New York (NY); On-site; USD 230,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Job summary

Goldman Sachs Group in New York seeks a Vice President in Core Engineering, Quantitative Engineering. You will build reusable data pipelines across databases, lakehouse, and cloud platforms, improving data quality, lineage, and performance, while collaborating with modelers to turn complex models into reliable, production-grade products.

You will lead the development of practical financial planning models, focusing on headcount projections and scenario generation, and you will ensure robust

Qualifications

• Bachelor’s or Master’s degree in a quantitative or technical field such as Statistics, Electrical Engineering / Computer Science, Applied Mathematics, Economics, Physics, or Engineering.

Responsibilities

• Build reusable data pipelines and data products across databases, lakehouse and cloud platforms; improve data quality, lineage, orchestration, and performance.
• Maintain and improve existing operational models for business management; scale analytical solutions for production.
• Turn complex statistical and machine learning models into reliable, maintainable products with testing, controls, monitoring, and documentation.
• Develop practical models for financial planning, focusing on pipeline-style models such as headcount projections.
• Support production economic scenario generation and DAG-heavy modeling workflows; make graphs scalable and observable.

Skills

Modeling

Forecasting

Data Engineering

Stakeholder Management

Leadership

Education

Bachelor's or Master’s degree

Tools

SQL

Spark

Databricks

Python

R

Anaplan

Job description

Goldman Sachs Group in New York seeks a Vice President in Core Engineering, Quantitative Engineering. You will build reusable data pipelines across databases, lakehouse, and cloud platforms, improving data quality, lineage, and performance, while collaborating with modelers to turn complex models into reliable, production-grade products.

You will lead the development of practical financial planning models, focusing on headcount projections and scenario generation, and you will ensure robust