Vice President, Data Analytics & Reporting

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$170,000–$270,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $220k
$113k most similar roles pay here $287k

This role pays more than 82% of similar roles. Most pay $143,562–$200,000 — the shaded band above. At the midpoint, this role pays about $220k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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View all roles at Goldman Sachs

At a glance

TL;DR · Vice President, Data Analytics & Reporting

The Vice President of Data Analytics & Reporting role within the Platform Solutions team at Goldman Sachs in New York involves overseeing advanced data analytics and machine learning activities to monitor portfolio health and enhance fraud prevention. This senior executive will build forecasting models, collaborate with cross-functional teams including Business, Product, Technology, Operations, and Compliance to implement solutions that improve portfolio performance, and optimize existing processes for efficiency. Key responsibilities include providing strategic analysis, designing project strategies, delivering executive presentations, and leading team activities. The ideal candidate possesses extensive experience in Python programming, advanced data analytics, and has a background in Computer Science or related fields. This role demands expertise in leveraging cutting-edge technologies to address complex business challenges within the financial services industry.

What you'll do

  • Perform and oversee advanced data analytics using machine learning techniques.
  • Build forecasting models to understand portfolio performance trends and identify improvements.
  • Work closely with cross-functional teams to implement solutions for portfolio enhancement.
  • Identify, document, and improve existing processes to maximize efficiency continuously.
  • Provide strategic analysis and design strategies for project delivery from start to finish.
  • Prepare executive presentations and lead strategy planning sessions regularly.

What we're looking for

  • Bachelor’s degree in Computer Science or related field and 5 years of relevant experience.
  • Master’s degree in Computer Science or related field and 3 years of relevant experience.
  • Experience performing advanced data analytics using Python.
  • Expertise in building forecasting models to understand portfolio performance trends.
  • Proven ability to work closely with cross-functional teams (Business, Product, Technology).
  • Skill in identifying and improving existing processes for efficiency gains.
  • Capability to provide strategic analysis and drive end-to-end project delivery.

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