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    Internal Audit- Embedded Data Analytics - New York, NY, United States - Goldman Sachs

    Goldman Sachs
    Goldman Sachs New York, NY, United States

    3 weeks ago

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    Description
    Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's 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 management's control measures

    In doing so, internal Audit:
    • Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk
    • Raise 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 of 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

    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
    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 be involved in independently assessing the firm's 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 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 firm's control environment

    RESPONSIBILTIES

    • 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

    QUALIFICATIONS

    • 4-6 years of experience with a minimum of

    • Bachelor's 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

    • Driven and motivated and constantly taking initiative to improve performance

    PREFERRED QUALIFICATIONS

    • Experience with Aadvanced data analytics tools and techniques

    • Well versed with Python/SQL Coding

    • Understanding of GitLab and Software development Lifecycle (SDLC)

    • Background knowledge and hands-on experience working on cloud based services such as Amazon S3 and Snowflake

    • Understanding of Banking products and services such as Savings, Deposits, and Credit Cards

    • Familiarity with Ttext analytics and NLP using python

    • 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

    • Exposure to Financial Industry Investment/Retail or Commercial Baking is a plus

    Salary Range
    The expected base salary for this New York, New York, United States-based position is $85000-$140000
    In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end

    Benefits
    Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience
    A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here
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