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Data Scientist - Marcus by Goldman Sachs Decision and Lendin

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Job Details
Job Order Number
JC170383745
Company Name
Goldman Sachs & Co.
Physical Address

Wilmington, DE 19893
Job Description

MORE ABOUT THIS JOB

CONSUMER

Marcus by Goldman Sachs is the firm’s consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, Marcus has $90 billion in deposits, $7 billion in loan balances and 4 million customers across our lending and deposits businesses, as well as the personal financial management app, Clarity Money. Through the use of insights and intuitive design, we provide customers with powerful tools and products that are grounded in value, transparency and simplicity. We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.

You will be part of the decision and data science function for Marcus-lending business that caters to end to end Customer life cycle. This would include customer segmentation methodologies, marketing targeting, attribution and response models, digital optimization, development of underwriting models to collection models, as well as the evaluation of new data sources and perform advanced data processing technologies.

RESPONSIBILITIES AND QUALIFICATIONS

Job Summary & Responsibilities

As part of the decision and data science function for Marcus lending business, one should be at the forefront of a data-driven initiative to optimize decision making. This role will draw upon knowledge of programming and quantitative solutions. This role entails:

+ Rapidly prototype early-stage solutions and design / evaluate predictive models and advanced algorithms to drive business decisions throughout the customer lifecycle (prospecting, acquisition, underwriting, 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 traditional modeling, 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, Statistics, Econometrics and other quantitative fields

+ 0-5 years of prior modeling/data science experience is required preferably in credit risk, marketing response modeling and forecasting.

+ Strong programming background in compiled or scripting languages (C/C++, Python, R, Java, etc.) as well as experience querying database using SQL

+ Ability to explain complex models and analysis to diverse audience in a layman intuitive way

Preferred Qualifications

+ 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 and/or Spark)

ABOUT GOLDMAN SACHS

CONSUMER AND INVESTMENT MANAGEMENT DIVISION (CIMD)

The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.

ABOUT GOLDMAN SACHSAt 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 .We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

© 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

Location(s)US-DE-Wilmington

Job ID2020-66571

Schedule TypeFull Time

LevelSenior Analyst, Associate

Function(s)Quantitative Engineer

RegionAmericas

DivisionConsumer and Investment Management Division

Business UnitTrust Services

Employment TypeEmployee


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