VP, Quantitative Engineering - AI, Risk Modeling & Scale

Goldman Sachs Bank AG; New York (NY); On-site; USD 113,000 - 276,000; Full time

Benefits offered by this job

Health and dental insurance

Generous vacation entitlements

On-site fitness centers

Child care services

Job summary

Goldman Sachs Bank AG is seeking a Vice President for Quantitative Engineering in New York, New York. The role involves collaborating with stakeholders to analyze user needs, designing and implementing scalable technology solutions, and building predictive models from large data sets.

The ideal candidate will have a Master's or Bachelor's degree in a quantitative field with relevant experience in software engineering. Salary ranges from $113,000 to $276,000, with a comprehensive benefits package offered.

Qualifications

• Experience in quantitative or software engineering role (3-5 years).
• Prior experience including advanced statistical techniques.
• Experience with multi-threaded, service-oriented applications.

Responsibilities

• Collaborate with stakeholders to analyze user needs.
• Design and implement scalable technology solutions.
• Analyze large data sets to build predictive models.

Skills

C++

Java

Python

Quantitative analysis

Bayesian analysis

Time series analysis

Machine learning

SQL

NoSQL (MongoDB)

Micro-services architecture

Education

Master’s degree in Computer Science or related field

Bachelor’s degree in Computer Science or related field

Tools

Unix environment

REST

Spring

Job description

Goldman Sachs Bank AG is seeking a Vice President for Quantitative Engineering in New York, New York. The role involves collaborating with stakeholders to analyze user needs, designing and implementing scalable technology solutions, and building predictive models from large data sets.

The ideal candidate will have a Master's or Bachelor's degree in a quantitative field with relevant experience in software engineering. Salary ranges from $113,000 to $276,000, with a comprehensive benefits package offered.