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Lead Engineer -Fraud Strategy

Location
Wilmington, Delaware
Posted
7 Sep 2022

CONSUMER (MARCUS BY GOLDMAN SACHS)


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.

Job Summary & Responsibilities


As part of the marketing data science team of Marcus lending business, one should be at the forefront of a data-driven initiative to drive marketing decisions. This role will draw upon knowledge of programming and Quantitative solutions. This role entails:


  • Rapidly prototype and design / evaluate predictive models and advanced algorithms to drive marketing business decisions that include customer responses, segmentation, content personalization, offer personalization, multi-touch attribution, cross sell/upsell, customer value and other relevant areas that support marketing teams across a variety of consumer products such as loans and cards etc. 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.


  • Understand finance, banking regulation and performance metrics including ROE and ROA


  • 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


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


Preferred Qualifications


  • Familiarity with advanced Machine Learning models - multivariate analysis, clustering, dimensionality reduction, neural networks, Markov Models, random forests, SVMs, or participation in Kaggle type data science competitions.
  • Experience with distributed computing (Hadoop, Spark).
  • Experience in Consumer Lending Marketing models.


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 .


We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: .html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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Details

  • Job Reference: 706060232-2
  • Date Posted: 7 September 2022
  • Recruiter: Goldman Sachs
  • Location: Wilmington, Delaware
  • Salary: On Application