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

Goldman Sachs & Co.

New York, New York • Today

Full-time

The Core Engineering, New York, Vice President, AI/ML Engineer

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 130,000.00 - 250,000.00 per year

The Core Engineering-New York-Vice President-AI Product Manager - Enterprise Platforms & Workflow Transformation

Goldman Sachs & Co.

New York, New York • Today

Full-time

The Core Engineering-L2-New York-Vice President-Software Engineering

Goldman Sachs & Co.

New York, New York • Today

Full-time

The Core Engineering, FTP Strats, Associate, Quantitative Engineering

Goldman Sachs & Co.

New York, New York • Today

Full-time

The Core Engineering-Associate, Quantitative Strategist, Core Planning and Analysis Strats

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 115,000.00 - 180,000.00 per year

The Core Engineering-Corporate Treasury, New York, Associate, Software Engineering

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 115,000.00 - 180,000.00 per year

GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 150,000.00 - 300,000.00 per year

Senior Rust Engineer - Algorithmic Trading Quant - VP

Citi

New York, New York • 3d ago

Full-time

USD 175,000.00 - 250,000.00 per year

Vice President, Data Management & Quantitative Analysis

Bank Of New York Mellon

New York, New York • Today

Full-time

AI Research Scientist - New York- Global Quant Firm

Oxford Knight

New York, New York • 15d ago

Full-time

USD 200,000.00 per year

Markets - Quantitative Analysis, Summer Analyst - New York City - US, 2027

Citi

New York, New York • 3d ago

Full-time

USD 110,000.00 per year

Senior Python Developer - Quant Models AI Automation - Vice President

Citi

New York, New York • 3d ago

Full-time

USD 142,320.00 - 213,480.00 per year

Senior Python Developer - Quant Models AI Automation - Vice President

Citi

New York, New York • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Quantitative Software Engineer (DV Commodities)

DV Trading

New York, New York • 5d ago

Full-time

USD 160,000.00 - 190,000.00 per year

Senior Software Engineer, Quantitative Research

London Stock Exchange Group

New York, New York • Today

Full-time

USD 192,400.00 - 320,600.00 per year

Quantitative Trading Engineer (Java) - Vice President

Deutsche Bank

New York, New York • Today

Full-time

USD 155,000.00 - 252,500.00 per year

Director of Engineering - NYC

Compass Group The Americas Division

New York, New York • Today

Full-time

USD 160,000.00 - 180,000.00 per year

Chief Engineer - New York City

HEI Hotels and Resorts

New York, New York • Today

Full-time

USD 115,000.00 - 125,000.00 per year

AI Enabled Modernization - Agentic Software Engineer - Vice President (New York, NY)

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 130,000.00 - 250,000.00 per year

Vice President, Infrastructure Engineering

Bank Of New York Mellon

New York, New York • Today

Full-time

ISG Management - Vice President, Data Governance and Data Quality - Institutional Securities Data Group (New York)

Morgan Stanley

New York, New York • Today

Full-time

USD 140,000.00 - 250,000.00 per year

Vice President of Engineering

Benchmark IT- Technology Talent

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Associate Vice President, Head of Enterprise AI Delivery

Merck & Company Inc

Rahway, New Jersey • Today

Full-time

USD 282,200.00 - 444,200.00 per year

Quantum Computing Research Scientist - Vice President

JPMorgan Chase & Co.

New York, New York • 11d ago

Full-time

Engineering Manager, Core Engineering

SeatGeek

Remote • Today

Full-time

USD 171,000.00 - 248,000.00 per year

VP of Engineering

Wpromote

Remote • Today

Full-time

USD 230,000.00 - 285,000.00 per year

Principal AI Engineer - Vice President

Morgan Stanley

New York, New York • Today

Full-time

USD 150,000.00 - 210,000.00 per year

Asset & Wealth Management, Talent Development, Wealth Solutions and Private Bank Training, Onboarding, and Development - Vice President - New York

Goldman Sachs & Co.

New York, New York • Today

Full-time

USD 125,000.00 - 250,000.00 per year

Senior Quantitative Data Engineer

Schonfeld Group

New York, New York • Today

Full-time

USD 200,000.00 - 220,000.00 per year

Job Details

Skills

Data Quality
Machine Learning (ML)
Testing
Documentation
FOCUS
Reporting
Technical Direction
Mentorship
Collaboration
Partnership
Finance
Statistics
Electrical Engineering
Computer Science
Applied Mathematics
Economics
Physics
Business Management
Fluency
Prototyping
Dependability
Modeling
Financial Planning
Forecasting
Time Series
Data Engineering
Database
SQL
Data Modeling
Apache Spark
Databricks
Python
R
Software Development
Analytical Skill
Cloud Computing
Rust
Workflow
Orchestration
Evaluation
Management
Leadership
Stakeholder Management

Data Quality
Machine Learning (ML)
Testing
Documentation
FOCUS
Reporting
Technical Direction
Mentorship
Collaboration
Partnership
Finance
Statistics
Electrical Engineering
Computer Science
Applied Mathematics
Economics
Physics
Business Management
Fluency
Prototyping
Dependability
Modeling
Financial Planning
Forecasting
Time Series
Data Engineering
Database
SQL
Data Modeling
Apache Spark
Databricks
Python
R
Software Development
Analytical Skill
Cloud Computing
Rust
Workflow
Orchestration
Evaluation
Management
Leadership
Stakeholder Management

Summary

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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121118
Position Id: 10389922e1e1d93c0d3e290f218a5516
Posted 2 hours ago

Fitment

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New York, New York

•

Today

Job Description Role Overview As an Associate Quantitative Strategist (Strat) within the Core Planning and Analysis Strats team, you will focus on two complementary mandates: (1) the design, development, and implementation of quantitative models to drive Budget Planning & Management - modeling and forecasting revenues, expenses, and balance sheet dynamics - and (2) the design and engineering of AI agents to automate analysis, reporting, and decision support across the planning lifecycle. You w

Full-time

USD 115,000.00 - 180,000.00 per year

The Core Engineering, FTP Strats, Associate, Quantitative Engineering

New York, New York

•

Today

Job Description Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The Funds Transfer Pricing (FTP) Strats team within Treasury is dedicated to developing robust quantitative Asset Liability Management (ALM) models and frameworks. This enables the accurate pricing, incentivization, and execution of funding transfers, utilizing liabi

Full-time

Data Scientist

New York, New York

•

Today

Job ID: 111268 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.Perform exploratory data analysis to gain a deeper understanding of the problem.Construct and fit statistical, machine learning, or optimization models.Write prod

Full-time

USD 148,000.00 - 222,000.00 per year

Lead Software Engineer - Market Risk Reporting & Visualization

Jersey City, New Jersey

•

Today

Job Description Job Description We have an exciting opportunity for an experienced software engineer to shape the next generation of market risk reporting and analytics. As a Lead Software Engineer in the Market Risk Data Visualization Team, you will provide hands-on technical leadership for data products that help risk professionals understand a large, complex, and fast-moving market risk environment. You will design and deliver high-quality analytical datasets, reporting pipelines, and visu

Full-time

USD 156,750.00 - 215,000.00 per year

Job Details

Skills

Data Quality
Machine Learning (ML)
Testing
Documentation
FOCUS
Reporting
Technical Direction
Mentorship
Collaboration
Partnership
Finance
Statistics
Electrical Engineering
Computer Science
Applied Mathematics
Economics
Physics
Business Management
Fluency
Prototyping
Dependability
Modeling
Financial Planning
Forecasting
Time Series
Data Engineering
Database
SQL
Data Modeling
Apache Spark
Databricks
Python
R
Software Development
Analytical Skill
Cloud Computing
Rust
Workflow
Orchestration
Evaluation
Management
Leadership
Stakeholder Management

Data Quality
Machine Learning (ML)
Testing
Documentation
FOCUS
Reporting
Technical Direction
Mentorship
Collaboration
Partnership
Finance
Statistics
Electrical Engineering
Computer Science
Applied Mathematics
Economics
Physics
Business Management
Fluency
Prototyping
Dependability
Modeling
Financial Planning
Forecasting
Time Series
Data Engineering
Database
SQL
Data Modeling
Apache Spark
Databricks
Python
R
Software Development
Analytical Skill
Cloud Computing
Rust
Workflow
Orchestration
Evaluation
Management
Leadership
Stakeholder Management

Summary

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.

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.

Dice Id: 10121118
Position Id: 10389922e1e1d93c0d3e290f218a5516
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

New York, New York

•

Today

Full-time

USD 115,000.00 - 180,000.00 per year

The Core Engineering, FTP Strats, Associate, Quantitative Engineering

New York, New York

•

Today

Full-time

Data Scientist

New York, New York

•

Today

Full-time

USD 148,000.00 - 222,000.00 per year

Lead Software Engineer - Market Risk Reporting & Visualization

Jersey City, New Jersey

•

Today

Full-time

USD 156,750.00 - 215,000.00 per year

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

Skills

Summary

Dice Job Match Score™

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

Job Details

Skills

Summary

Dice Job Match Score™

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