Internal Audit-Data Analytics, Data Engineer -New York-Vice President

Goldman Sachs Bank AG; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Generous vacation policy

Retirement benefits

On-site health centers

Job summary

Goldman Sachs invites a senior Data Engineer to join the Embed Data Analytics team within Internal Audit in New York. You will build data-centric solutions, automate audit testing, and collaborate with auditors to improve control testing through scalable analytics.

The role requires strong SQL, programming experience in Python/Java/C++, and knowledge of data governance, with experience using visualization tools to present findings clearly.

Qualifications

• 8+ years of experience in a technical role with a strong foundation in computer science, math, or statistics.
• Solid SQL/RDBMS experience and data governance exposure.
• Proficiency in Python/Java (and C++ in some teams) for data analysis and tooling.
• Ability to communicate complex results clearly to auditors and management.

Responsibilities

• Perform data modeling, data engineering, and data governance for audits.
• Develop reusable analytical tools and automate audit testing workflows.
• Collaborate with audit teams to source data and build data-centric solutions.
• Create production-ready analytics using Tableau/Spotfire/QlikView and ETL processes.
• Document data quality measures and validation narratives for controls.

Skills

RDBMS/SQL

Python

Java

C++

Data analysis

Data governance

Data visualization

Communication

Education

Bachelor’s in CS/Math/Statistics

Tools

Tableau

Spotfire

QlikView

SAS/SPSS/R

Job description

Overview

Internal Audit-Data Analytics, Data Engineer – New York, Vice President. Location: New York, NY, United States.

What We Do

Internal Audit’s mission is to independently assess the firm’s internal control structure, governance processes and controls, risk management, capital and anti-financial crime framework. It also raises awareness of control risk and monitors the implementation of management’s control measures.

Internal Audit communicates and reports on the effectiveness of governance, risk management and controls; raises awareness of control risk; assesses the firm’s control culture and conduct risks; and monitors management’s implementation of control measures.

Goldman Sachs Internal Audit is organized into global teams comprising business and technology auditors that cover all the firm’s businesses and functions — securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering.

Who We Look For

Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering.

Data Analytics

In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. The Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data‑driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same.

Your Impact

As part of the third line of defense, you will independently assess the firm’s overall control environment and its effectiveness as it relates to current and emerging risks, and communicate the results to local/global management. You will support independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities.

We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into the firm’s control environment.

Responsibilities

• Perform Database related activities – Data Modeling, Data Engineering, Data Governance, and maintenance of Entitlements.
• Obtain/Manage requirements tailored to each audit project and provide results that support auditors in terms of sample selection, control gap identification, completeness of data sources, and data integrity (i.e., Data Blessing).
• Build production-ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire or QlikView.
• Execute elected data analysis activities, defined as procedural or programmatic tasks related to analysis, extraction, transformation and uploading of data (structured and unstructured) (i.e., ETL processes).
• Perform data analysis activities that may be supplemented by summarized technical narratives describing the integrity of automated controls.
• Write data analysis code (e.g., Python, Java, or Slang).
• Identify areas for process standardization and implement automation techniques in applications used for audit processes and Data Analytics.
• Execute on Embed DA - Data strategy developed by IA management within the context of audit responsibilities (risk assessment, audit planning, creation of reusable tools, and innovative solutions to complex problems).
• Partner with audit teams to identify risks and facilitate strategic data sourcing, developing innovative solutions to increase efficiency and effectiveness of audit testing.
• Build and manage relationships and communications with Audit team members.

Basic Qualifications

• 8+ years of experience with a minimum of a bachelor’s in computer science, math, or statistics.
• Strong experience in RDBMS/SQL.
• Exposure to ETL processes, data engineering and data governance.
• Experience in implementing Data Blessing/Data Quality measures and entitlement models.
• Proficiency in programming languages such as Python, Java, or C++.
• Knowledge of basic statistics, including descriptive statistics, data distribution models, time series analysis, correlation, and regression, and their application to data.
• Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important clearly and to handle multiple tasks.
• Strong contributor to the Data Science team and ability to build analytical capabilities for Internal Audit.
• Motivated and proactive, with initiative to improve performance.

Preferred Qualifications

• Experience with advanced data analytics tools and techniques.
• Familiarity with text analytics and NLP using Python.
• Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning — linear/logistic regression, SVM, random forest and boosting, clustering and pattern recognition techniques.
• Experience with analytical/statistical programs such as SAS, SPSS, and R.
• Experience with visualization tools (Tableau, Spotfire or QlikView) is a plus.
• Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to the department.

Benefits & Corporate Information

Healthcare & Medical Insurance: We offer a wide range of health and welfare programs that vary depending on office location, including medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location, with 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 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.