AWM, Marcus by Goldman Sachs, Pricing & Analytics (Modeling) Associate, Richardson, TX
About The Position
In Goldman Sachs Bank USA, we offer a wide range of solutions to help our customers meet their financial goals. Our teams seek to provide the highest level of customer service and support in everything we do. The Bank offers high yield savings accounts and a variety of loan products to individuals and private bank, corporate and community clients. Our savings products include an online savings account and certificates of deposit in a variety of terms. Asset & Wealth Management The Asset & Wealth Management Division include Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and Marcus Savings. We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives. Marcus by Goldman Sachs As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing high-yield savings accounts and Certificates of Deposit (CDs) directly to individual consumers. Marcus combines Goldman Sachs' 150+ years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers, and is recognized as the largest pure online bank, delivering a fully digital experience without physical branches. The Marcus Savings team is seeking a consumer-centric, analytically minded, creative, and energetic Associate to join the US Pricing & Analytics team. In this role you will apply your consumer financial services industry experience and analytical skill sets to drive the analytics strategy, data infrastructure, and model development to drive growth and engagement of our Savings and CD products.
Requirements
- 3 to 5 years of experience with analytics, metrics, modeling, and reporting preferably in the financial services industry
- Bachelor or Advance degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related disciplines
- Experience with one or more mainstream programming language, (Python, Java etc) is preferred
- Understand and make recommendations to enhance data processes within one or more databases (Oracle, Sybase, Snowflake, etc.) to improve application of data in making business decisions.
- Experience with customer segmentation and applying appropriate machine learning techniques (regression, classification, clustering, NLP, etc.).
- Strong quantitative and analytical skills and experience in working with large data sets and Big Data tools and stack (e.g., SQL, Hadoop, etc.).
- Experience with Tableau, Power BI or similar data visualization tools
Nice To Haves
- Consumer Banking
- Prior experience developing data driven strategies in a deposits business or with B2C marketing analytics
- Strong project management skills; self-driven; ability to work independently and cross-functionally
- Demonstrate an ability to effectively communicate and present results highlighting the broader commercial and strategic impact
- Competitive spirit with the ability to lead, motivate and build relationships with internal stakeholders
Responsibilities
- You will be developing the measurement framework and dashboards to track the success of our product and marketing campaigns, monitoring and improving KPIs and operational performance metrics and researching business and industry trends to set benchmarks.
- You will analyze customer journeys across digital touchpoints and make recommendations to improve customer experience
- You will be developing advanced modeling and customer segmentation to drive customer lifetime value with Savings/CD products, customer engagement, etc.
- You will help with the evaluation and monitoring of A/B tests as part of our test and learn acquisition and retention strategies with the ability to demonstrate statistical significance testing
- You will develop automated reporting/measurement, advance tools and models to gain customer insights, draw conclusions and work with business partners to put those insights into action
- You will work closely with business partners and engineering teams to evaluate new and alternate data sources as well as analytical tools
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
