• Tech Risk Measurement Engineer Lead - Measurement

    Location(s) US-TX-Dallas
    Job ID
    2019-53716
    Schedule Type
    Full Time
    Level
    Vice President/Executive Director
    Function(s)
    Technology
    Region
    Americas
    Division
    Engineering
    Business Unit
    Technology Risk
    Employment Type
    Employee
  • MORE ABOUT THIS JOB

    Goldman Sachs Technology Risk is leading threat, risk analysis and data science initiatives
    that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.


    GLOBAL RISK MEASUREMENT & ANALYTICS identifies control weakness, adherence to regulatory requirements, and allows for the continuous control monitoring of individual key performance indicators that demonstrate the value of information security. This program
    leverages tools and modeling to ensure technology policies and standards address critical risks and adequately address regulatory expectations throughout the Firm.

    RESPONSIBILITIES AND QUALIFICATIONS


    Candidate will be responsible for leading and contributing the efforts to understand data from technology controls across the organization, modelling and loading into the standard data lake environment, and produce quality measures / metrics from it that adhere to control standards and thresholds.

    RESPONSIBILITIES: 

    • Build relationships within the Tech Risk and other business units to understand the data and metrics required to provide insight to users from developer to CIO level
    • Candidate will expand the technology risk domain model by contributing new concepts and enhancing the existing concepts
    • Candidate will lead the team building the metrics and measurements as part of a framework and service utilized by other engineering, development, testing and release management teams
    • Candidate will prototype, define and implement models using various modeling approaches provided by enterprise data modeling tools. Industry experience of designing and developing a data warehouse should help towards adapting to GS custom data modeling tool
    • Facilitate the ability to derive metrics from the modelled data
    • Define and implement quality measures from the metrics
    • Integrate domain model with strategic enterprise data architecture infrastructure

     

    HOW YOU WILL FULFILL YOUR POTENTIAL:

    • Engage with the larger Technology risk organization to create and deliver reliable and consumable data models and measurements
    • Partner with technology control program owners in defining the control effectiveness criteria and necessary measurements to support effectiveness
    • Create, communicate, and promote best practices for ETL in enterprise data architecture space
    • Collaborate with wider technology community solving business problems via the architecture and engineering of data intensive applications

     


    SKILLS AND EXPERIENCE WE ARE LOOKING FOR:

    • Minimum 5 years of experience in data modeling, data analytics and ETL/ Data warehousing
    • Ability to communicate technical concepts effectively, both written and orally, as well as the interpersonal skills required to collaborate effectively with colleagues across diverse technology teams
    • Ability to engage with senior technical experts to work out data extraction, loading and refinement strategies
    • Ability to reason about measurement computation performance and execution reliability to meet SLA’s
    • Ability to understand and effectively debug both new and existing solutions
    • Proficiency in performing complex data analysis using SQL
    • Proficiency in designing, developing, and testing data extraction and refinement solutions in one or more of Python, Java, Spark; and open to using and learning other languages

     

    PREFERRED QUALIFICATIONS: 

    • Strong analytic background to define risk models and thresholds
    • Strong expertise in SQL data analysis (ability to weight query design against the performance impacts)
    • Strong development proficiency in one or more languages, such as Java, Python, Spark/Scala
    • Strong technical, interpersonal, organizational, written and verbal communication skills to interact with internal clients locally and globally

     

     

    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.