The Core Engineering, New York, Vice President, Quantitative Engineering

Goldman Sachs Group; New York (NY); In loco; USD 230.000 - 300.000; Tempo pieno

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Health benefits

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Modeling

Forecasting

Data Engineering

Stakeholder Management

Leadership

Formazione

Bachelor's or Master’s degree

Strumenti

SQL

Spark

Databricks

Python

R

Anaplan

Descrizione del lavoro

The Core Engineering, New York, Vice President, Quantitative Engineering

New York, NY, United States

Job Description

Job Duties

Build reusable data pipelines and data products across databases, lakehouse and cloud platforms, Anaplan, and other enterprise systems; improve data quality, lineage, orchestration, and performance.

Maintain, and improve existing operational models used for business management. Strengthen existing architectures and help new development start with production needs in mind.

Partner with modelers from prototype onward to turn complex statistical and machine learning models into reliable, maintainable products with appropriate testing, controls, monitoring, documentation, and operational support for forecasting, planning, and scenario design.

Develop and support practical models for financial planning, with focus on pipeline-style models (for e.g. headcount projections) that can serve as independent challenger models to test business forecasts and identify key assumptions, risks, and alternative outcomes.

Support production economic scenario generation and other DAG-heavy modeling workflows, making complex calculation graphs scalable, observable, reproducible, and easy for downstream teams to consume.

Apply agentic development selectively to improve data discovery, model workflows, controls, scenario analysis, and reporting, with appropriate evaluation and safeguards.

Set pragmatic technical direction and represent a central function across multiple divisions: understand distinct needs, manage senior stakeholders, mediate competing priorities, and build consensus around reusable solutions. Review designs and code, mentor practitioners, and maintain a responsive, service-oriented partnership with Finance, Risk, Engineering, and business teams.

Minimum Education & Experience Requirements

Bachelor’s or Master’s degree (U.S. or foreign equivalent) in a quantitative or technical field such as Statistics, Electrical Engineering / Computer Science, Applied Mathematics, Economics, Physics, or Engineering.

Eight (8) or more years of relevant experience spanning data, modeling, forecasting, financial-planning technology, or software-enabled analytical products.

A track record of taking ownership of existing operational models, maintaining and improving them for business-management use, and scaling analytical solutions for sustained production.

Candidates should be modeling and data practitioners at heart, with the software fluency to deliver. The strongest candidates will have improved imperfect real-world models and data, solved practical numerical problems, and moved useful work from local prototypes into dependable shared solutions.

Special Skills Required to Perform the Job

Practical Modeling: Strong quantitative judgment and an exceptional command of the practical techniques needed to make models work with messy data, limited history, changing business conditions, and operational constraints. Experience building independent challenger models to assess business projections, test assumptions, and explain differences is required; experience with financial-planning and driver-based models is particularly relevant.

Forecasting & Time Series: Experience building and evaluating forecasts, selecting fit-for-purpose methods, diagnosing failure modes, and handling structural change, uncertainty, and unstable real-world series.

Data Engineering & Databases: Strong SQL, data-modeling, pipeline, orchestration, quality, and lineage skills across relational, analytical, and cloud data platforms. Experience with lakehouse architectures, Spark, or Databricks is a plus.

Programming & Production: Advanced Python and R, sound software-development practices, and hands‑on experience taking analytical workflows into scalable cloud production. Rust is a plus.

Planning & Scenario Platforms: Experience connecting models and data to Anaplan or similar planning platforms. Experience scaling economic scenario generators, simulations, or other dependency‑heavy calculation workflows is a major plus.

Agentic Development: Working knowledge of agentic systems, including tool integration, orchestration, evaluation, state or context management, and appropriate controls.

Cross‑Divisional Leadership: Demonstrated experience operating from a central function and delivering for multiple divisions. Strong service orientation and stakeholder‑management skills, with the credibility to reconcile competing needs, mediate trade‑offs, build consensus, and connect technical decisions to shared business outcomes.

Job Info

• Locations New York, NY, United States

Healthcare & Medical Services

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).

We offer on‑site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class‑leading benefits our firm has to offer.

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