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

Goldman Sachs; Richardson (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Goldman Sachs Marcus Savings team seeks an analytically minded Associate for the US Commercial Strategy group in Richardson, TX. You will apply customer analytics and advanced methods to drive growth and engagement for Savings and CD products.

You will build dashboards, run experiments, and shape GTM strategies, collaborating with product, marketing, and risk teams to deliver measurable business impact.

Qualifications

• 3-5+ years of analytics, metrics, modeling, and reporting in the financial services industry.
• Bachelor's or Advanced degree in quantitative areas like Applied Math, Statistics, Engineering or CS.
• Experience in deposits or B2C marketing analytics is preferred.
• Proficiency with SQL, Hadoop, and Big Data tools.
• Experience with Tableau, Power BI or similar visualization tools.
• Experience with Python is preferred.
• Strong ability to communicate results and impact to business stakeholders.
• Cross-functional collaboration and self-driven project management.

Responsibilities

• Analyze customer profiles, preferences, behaviors, and market activity to inform target segments, product development, and GTM strategy.
• Apply cohort, time-series, and causal inference methods to identify trends and measure incremental impact across marketing, product, pricing, and customer experience.
• Build segmentation, lifecycle, and customer lifetime value frameworks for Savings and CD products.
• 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 propose improvements.
• Design and evaluate AB tests, multivariate tests, and quasi-experimental analyses to measure significance and incrementality.
• Build and deploy reporting tools and ML models for churn, LTV, segmentation, and price sensitivity.

Skills

Customer analytics

Segmentation

Causal inference

Big data tools

Tableau/Power BI

Python

Communication of results

Project management

Education

Bachelor's or advanced degree in quantitative field

Tools

SQL

Hadoop

Job description

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

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

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.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Healthcare & Medical Insurance

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Financial Wellness & Retirement

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