Internal Audit - Data Strategy - Associate @ LTIMindtree

Job Description

Job Description What We Do Internal Audits mission is to independently assess the firms internal control structure, including the firms governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of managements control measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firms governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firms control culture and conduct risks; and Monitors managements implementation of control measures 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 firms. businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Who We Look For Goldman Sachs Internal Auditors demonstrate a strong risk, control and analytical mindset, exercise professional skepticism and challenge status quo on risks and control measures effectively with management. We look for individuals who enjoy learning about audit, businesses, and processes, have innovative and creative mindset in adapting analytical techniques to enhance audit function, develop teamwork and build relationships and are able to evolve and thrive in a fast-paced global environment. Your Impact As part of the third line of defense, you will be involved in independently assessing the firms overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firms 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 firms control environment. Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help 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 automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 1-3 years of experience with a minimum of Bachelors in Computer Science, Math, or Statistics Experience with RDBMS/ SQL 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 its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking 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 Patterns Recognition techniques Experience with analytical/ statistical programs such as SAS, SPSS, and R Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer

Employement Category:

Employement Type: Full time
Industry: Investment Banking / Venture Capital / Private Equity
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Internal Audit - Data Strategy - Associate

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Keyskills:   RDBMS SQL Python Java C Statistics Data Science Machine Learning Linear Regression Logistic Regression SVM Clustering SAS SPSS R Data Analytics Text Analytics NLP Creativity Innovation Communication Skills Teamwork Random Forest Boosting Patterns Recognition Visualization Tools