Internal Audit, Embedded Data Analytics, Associate, New York

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Goldman Sachs USA
  • 21 Feb 19

Internal Audit, Embedded Data Analytics, Associate, New York

MORE ABOUT THIS JOB INTERNAL AUDIT
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. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes.

RESPONSIBILITIES AND QUALIFICATIONS BUSINESS UNIT OVERVIEW

Internal Audit independently assesses the firm's internal control structure. We provide assurance that financial reporting is reliable, that there is compliance with applicable laws and regulations and that the firm's operations are effectively controlled. We assist management in commercially managing risk by providing advice in developing control solutions and monitoring the implementation of management's control measures. IA assists the firm's Board of Directors' Audit Committee in fulfilling its oversight responsibilities and regularly interacts with the external independent auditors.

The IA DA (Internal Audit Data Analytics) team intends to provide strategic & analytical solutions to audit teams across GS business lines (e.g. Securities, CCBD, IBD, IMD, Corporate (Finance, Risk & Services etc.) with the objective of increasing the efficiency and effectiveness of audit processes.

RESPONSIBILITIES

  • Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creating reusable tools and providing innovative solutions to complex real world problems
  • Partner with audit teams to identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing
  • Build production ready analytical tools to support repeatable and reusable processes within IA

Required Skills
  • 4+ years of experience in Data Science/ Analytics with hands on programming experience
  • Minimum Bachelor's degree in Computer Science, Math, or Statistics
  • Experience with RDBMS and SQL
  • Familiarity with data visualization tools, such as Tableau, QlikView, or Spotfire
  • Proficiency in programming languages, such as Python, R, Java, or C++
  • Knowledge of basic statistics, including descriptive statistics, data distribution models, and regressions
  • 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 Patterns Recognition techniques
  • Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner
  • Ability to work as a strong contributing member of Data Science team by building analytical capabilities for Internal Audit Division
  • Drive and Motivation. Ability to handle multiple tasks, takes initiative to improve his/her own performance

Desired Skills and Competencies
  • Basic understanding of finance
  • Exposure to agile methodologies and story writing


ABOUT GOLDMAN SACHS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.