Bulge Bracket Investment Banks

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**Role: The Core Engineering, New York, Vice President, Quantitative Engineering** - New York, NY, USA - **Key Responsibilities:** Lead quantitative engineering for forecasting, planning, and scenario design. Build, maintain, and improve data pipelines, operational models, and workflows. Collaborate with cross-functional teams and stakeholders, providing practical modeling, forecasting, and agentic development skills. - **Required Skills:** Proven experience in data engineering, programming, data modeling, and profiling. Expertise in Python, R, SQL, Spark, and cloud platforms. Strong background in forecasting, time-series analysis, and scenario planning. Demonstrated leadership in cross-divisional projects. - **Education & Experience:** Bachelor's or Master's degree in a quantitative or technical field. Eight+ years of relevant experience, with a track record of scaling analytical solutions. Proven ability to develop and maintain imperfect real-world models and data.

Compensation: $130,000 – $260,000 USD
City: New York City
Country: United States

Full Job Description

The Core Engineering, New York, Vice President, Quantitative EngineeringNew York, NY, United States

Opportunity Overview

CORPORATE TITLEVice President

OFFICE LOCATION(S)New York

JOB FUNCTIONQuantitative Engineering

DIVISIONThe Core Engineering

SALARY RANGEUSD 130,000 - 260,000

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

Bachelors or Masters 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

The role requires strength across the following areas:

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.

Salary Range
The expected base salary for this New York, NY, United States-based position is $130000-$260000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

Holiday & Vacation Policies

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 Services

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).

Child Care & Family Care

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.

Learn More

Full Job Description

The Core Engineering, New York, Vice President, Quantitative EngineeringNew York, NY, United States

Opportunity Overview

CORPORATE TITLEVice President

OFFICE LOCATION(S)New York

JOB FUNCTIONQuantitative Engineering

DIVISIONThe Core Engineering

SALARY RANGEUSD 130,000 - 260,000

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

Bachelors or Masters 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.

Special Skills Required to Perform the Job

The role requires strength across the following areas:

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.

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance

Holiday & Vacation Policies

Financial Wellness & Retirement

Health Services

Fitness

Child Care & Family Care

Benefits at Goldman Sachs

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

Learn More

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

Full Job Description

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