• CIMD - Marcus by Goldman Sachs - Decision and Data Scientist

    Location(s) US-NY-New York
    Job ID
    2019-56902
    Schedule Type
    Full Time
    Level
    Vice President/Executive Director, Associate
    Function(s)
    Engineering
    Region
    Americas
    Division
    Engineering
    Business Unit
    DigFin Project Data
    Employment Type
    Employee
  • MORE ABOUT THIS JOB

    ENGINEERING

     

    What We Do

    At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

     

    Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.

     

    Who We Look For

    Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

     

    Consumer Engineering

    The firm’s Consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a startup with more than 150 years of experience. Today, we serve millions of customers across multiple products including lending, deposits, financial tools, and our partnership with Apple on Apple Card. We use innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity. As we build a leading digital consumer bank and expand into new products and partnerships, we are looking for leaders and individual contributors to join our team.

    RESPONSIBILITIES AND QUALIFICATIONS

    Job Summary & Responsibilities

    As part of the decision and data science function for Marcus, you will be at the forefront of a data-driven initiative to optimize decision making. This role will draw upon your knowledge of programming and mathematics.  In this role you will:

    • Rapidly prototype early-stage solutions and design / evaluate predictive models and advanced algorithms to drive business decisions throughout the customer lifecycle (prospecting, acquisition, underwriting, fraud, collections, enhancing customer experience)
    • Understand the systems and the business processes that populate those systems with data
    • Carry out data processing including statistical analysis, variable selection, and dimensionality reduction, custom attribute engineering, as well as the evaluation of new data sources
    • Leverage methods from diverse disciplines such as machine learning, deep learning, artificial intelligence, statistical modelling, information theory, information retrieval and other areas to gain customer insights, draw conclusions and work with business partners to put those insights into action
    • Participate in data architecture decisions and partner with technology teams to implement models/algorithms in production
    • Help document your assumptions and methodologies, as well as carry out validation and testing to facilitate peer reviews and independent model validation
    • Think strategically on a higher level, proposing new business metrics or suggesting alternatives, creating highly interpretive models that imply new context and new semantics for data

    Basic Qualifications

    • BS/MS or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science
    • Quantitative background including an understanding of probability and statistics
    • Strong programming background in compiled or scripting languages (C/C++, Python, Java, etc.)
    • Ability to explain complex models and analysis to diverse audience

    Preferred Qualifications

    • Experience in data science, advanced statistics
    • Familiarity with statistical computing languages or packages (R, Matlab, numpy/scikit-learn, Tensorflow, Keras, Pytorch) 
    • Familiarity with advanced ML models - neural networks (feed forward, CNNs, RNNs, LSTM), Hidden Markov Models, random forests, SVMs, multivariate analysis, clustering, dimensionality reduction or participation in Kaggle data science competitions
    • Experience with distributed computing (Hadoop, Spark)
    • Experience in a start-up business or a new business line within a larger organization

    ABOUT GOLDMAN SACHS

    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.

    We’re 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., 2020. All rights reserved.
    Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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