Asset & Wealth Management, Marcus Savings, US Commercial Strategy, Associate, Richardson, TX

Goldman Sachs (lateral); Richardson (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Goldman Sachs Bank USA, Marcus Savings team, seeks a consumer-centric, analytically minded Associate to join the US Commercial Strategy group. You will drive analytics strategy, data infrastructure and model development to grow Savings and CD products.

The role requires 3-5+ years in financial services analytics, strong quantitative skills, and experience with SQL, Python and visualization tools. You will build dashboards, run A/B tests and deliver insights to improve acquisition, engagement and

Qualifications

• 3-5+ years of analytics, metrics, modeling and reporting in financial services, banking preferred.
• Experience in customer analytics, including profiling, segmentation and lifecycle analysis, with causal inference methods.
• Strong quantitative skills and experience with large data sets and Big Data tools.
• Proficiency with data visualization tools (Tableau, Power BI).
• Programming experience in Python is preferred.

Responsibilities

• Analyze customer profiles, preferences, behaviors and market activity to inform target segments, product development and go-to-market strategy.
• Apply cohort, time-series and causal inference methods to identify trends and measure impact across marketing, product, pricing and customer experience.
• Build segmentation, lifecycle and customer lifetime value frameworks for Savings and CD products to improve acquisition quality, engagement and retention.
• Shape go-to-market strategies through opportunity sizing, audience targeting, value propositions, channel strategy and launch measurement.
• Develop dashboards and measurement frameworks to track product and marketing KPIs, operational performance and customer outcomes.
• Analyze digital journeys and conversion funnels to identify friction and improve customer experience.
• Design and evaluate A/B tests, multivariate tests and quasi-experimental analyses to measure significance and incrementality.
• Build and automate reporting, analytical tools and ML models for churn, lifetime value and price sensitivity.

Skills

Analytics

Customer analytics

Segmentation

Lifecycle analysis

Causal inference

Communication

Cross-functional work

Independent work

Project management

Education

Bachelor's degree in quantitative field

Advanced degree in quantitative field

Tools

SQL

Hadoop

Snowflake

Oracle

Sybase

Tableau

Power BI

Python

Job description

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 Savings

Marcus Savings business is comprised of the firm's digitally led consumer business, combining the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency and simplicity to help them make smarter decisions about their money.

Summary

The Marcus Savings team is seeking a consumer‑centric, analytically minded, creative, and energetic Associate to join the US Commercial Strategy team. In this role you'll 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.

In your role

• Analyze customer profiles, preferences, behaviors, and market activity to inform target segments, product development, and go-to-market strategy.
• Apply cohort, time-series, and causal inference methods to identify trends, isolate drivers, and measure incremental impact across marketing, product, pricing, and customer experience.
• Build segmentation, lifecycle, and customer lifetime value frameworks for Savings and CD products to improve acquisition quality, engagement and retention.
• Shape go-to-market strategies through opportunity sizing, audience targeting, value propositions, channel strategy, and launch measurement.
• Develop dashboards and measurement frameworks to track product and marketing KPIs, operational performance, customer outcomes, and benchmarks.
• Analyze digital journeys and conversion funnels to identify friction and recommend customer experience improvements.
• Design and evaluate A/B tests, multivariate tests, and quasi-experimental analyses to measure statistical significance, incrementality, and acquisition and retention impact.
• Build and automate reporting, analytical tools, and ML models for churn, lifetime value, segmentation, and price sensitivity - owning design through deployment and monitoring - and measure success on both model accuracy and business impact (retention, margin, ROI)

Qualifications

• 3-5+ years of experience with analytics, metrics, modeling, and reporting in the financial services industry; consumer banking preferred
• Bachelor or Advance degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related disciplines
• Prior experience developing data driven strategies in a deposits business or with B2C marketing analytics is preferred
• Experience in customer analytics, including customer profiling, segmentation, and lifecycle analysis, and applying causal inference methods to measure incremental business impact.
• 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
• Experience with programming languages such as Python 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 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

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