Marcus by Goldman Sachs, MI Manager, Savings Analytics & Forecasting, Analyst, Birmingham

Wealth Management

Across Wealth Management Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning investment management banking and comprehensive advice to a wide range of clients including ultra-high net worth and high net worth individuals as well as family offices foundations and endowments and corporations and their employees. Our direct-to-consumer business provides digital solutions that help customers save and invest. Across Wealth Management our growth is driven by a relentless focus on our people our clients and customers and leading-edge technology data and design.

Marcus by Goldman Sachs

The firms direct-to-consumer business Marcus by Goldman Sachs combines the entrepreneurial spirit of a start-up with more than 150 years of experience. Today we serve millions of customers across multiple products leveraging innovative design data engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value transparency and simplicity.

Our division also provides critical operations and user experience design to ensure business flows smoothly when customers come to us. From day one our customer service teams play a vital role in upholding the three customer support principles of customer focus process innovation and risk

YOUR IMPACT

• Bring acustomer-focused decision-ready view of performanceby delivering clear MI and forecasting that helps teams understandhow customers are behaving(inflows withdrawals retention maturities) and what actions to take next aligned to the outcomes focus ofConsumer Duty
• Strengthen the banks ability to run smoothly day-to-day by providingtimely accurate and well-explained reportingacrossCommercial Products Marketing Customer & Telephony Operations and Risk enabling leaders to spot issues early prioritise fixes and track improvements.
• Improveprocess innovation and efficiencyby reducing manual reporting effort through betterBI-ready datasets automation and repeatable reporting routines supported by robust data management practices
• Reinforcerisk management and controlby ensuring MI and forecasting arewell governed: consistent KPI definitions reconciliation and data quality checks controlled distribution and audit-ready documentation; operating appropriately underUK GDPR
• Support better pricing and planning decisions by providingscenario-based insightson how rate changes and market movements may affectsavings balances and flows and by applying proportionate model governance practices consistent with banking expectations

Summary & Responsibilities

Forecasting & decision support (flows balances pricing)

• Savings Forecasting Support:Deliver forward views of savingsbalances and flows(gross inflows withdrawals net flows maturity roll-offs) segmented by product and cohort using appropriate forecasting techniques
• Scenario & Sensitivity Analysis:Provide scenarios to support planning and pricing (e.g. rate moves competitor positioning seasonal impacts) with clearly stated assumptions and limitations.
• Model Governance (proportionate):Apply proportionate documentation monitoring and controls for forecasting models in line with banking model risk management expectations

Collaboration & stakeholder alignment

• Cross-functional Collaboration:Partner with Engineering Data Platform Product & Pricing Treasury/ALM Finance Marketing Operations and Risk to align on data definitions metrics and delivery priorities.
• Data Source Development:Identify gaps in reporting and forecasting coverage; collaborate with stakeholders to onboard or develop new data sources needed for comprehensive MI and analytics.
• Knowledge Sharing:Maintain clear documentation and runbook-style materials to support transparency continuity and efficient onboarding for analysts and stakeholders.

Reporting delivery & performance insight

• Reporting Delivery:Develop maintain and enhance MI packs dashboards and recurring performance views for various forums ensuring clear commentary and so what insights.
• Release Management:Manage the release lifecycle for dashboards and reports (testing stakeholder sign-off timely deployment) with clear change notes and version control.
• Method Consistency:Ensure consistent application of definitions reporting methodologies and segmentation logic across divisions and channels.

Data stewardship & governance

• Data Stewardship:Act as a data steward for savings MI domains ensuring data isaccurate consistent reconciled and fit for purposeacross source systems and reporting tools
• Data Governance & Controls:Implement and uphold governance practices covering KPI definitions data quality standards access controls and controlled MI distribution aligned to UK GDPR expectations
• Auditability:Maintain an audit-ready trail of metric definitions data lineage key controls and changes to critical reporting outputs.

Data management pipelines & BI-ready datasets

• Data Management (ETL/ELT):Support end-to-end management of reporting datasets including extraction transformation and loading into BI tools ensuring integrity availability and refresh reliability
• BI-ready Data Products:Shape and refine curated datasets (clean well-structured documented) that can be reused across MI forecasting and pricing analytics.
• Monitoring & Troubleshooting:Monitor pipelines and reporting solutions for performance issues investigate discrepancies and coordinate fixes to minimise outages and data quality incidents.

Requirements:

• Relevant experience:Proven experience in MI reporting analytics and data management (or similar) preferably inbanking/financial services ideally supportingretail savings/deposits.
• SQL & data investigation:Strong proficiency inSQL including building trusted datasets performing reconciliations and investigating anomalies/root causes.
• BI & visualisation:Strong proficiency in data visualisation and dashboarding () with the ability to deliver clear stakeholder-ready MI and insights
• Data governance & quality:Sound understanding of data governance principles (definitions lineage quality controls ownership) and experience applying them in practice
• Data pipelines & reporting datasets:Experience working with data engineering and/or platforms supporting ETL/ELT processes and BI-ready datasets with an emphasis on integrity and availability
• Risk privacy & controls mindset:Comfortable operating in a controlled environment including appropriate handling of personal data and controlled MI distribution aligned toUK GDPRexpectations
• Customer outcomes focus:Able to connect MI and insight to improved customer outcomes and fair value decisioning consistent withConsumer Dutyexpectations
• Analytical capability:Excellent analytical and problem-solving skills strong attention to detail and ability to translate data into clear so what / what next actions.
• Stakeholder management:Exceptional communication skills able to explain complex data concepts to both technical and non-technical audiences and influence priorities across teams.
• Leadership behaviours:Desire to help others meet targets and develop skills; ability to drive continuous improvement and ways of working.
• Ways of working:Self-directed detail-oriented adaptable and effective in a fast-paced team-oriented environment; high standards for service and delivery.

Preferred Skills & Qualifications:

• Education:Bachelors degree in Data Science Computer Science Statistics or a related quantitative field.
• Regulatory awareness (banking):Working knowledge of key regulatory expectations affecting MI data handling and customer outcomes such as:
  • UK GDPR / Data Protection Actprinciples (lawful processing minimisation access control)
  • PSD2concepts (payments ecosystem third-party access context)
  • Consumer Dutyoutcomes-based expectations
• BI design capability:Strong understanding of BI concepts and good practice (KPI design semantic/metric consistency dashboard design for decision-making)
• Data warehousing & modelling:Familiarity with data warehousing concepts and data modelling techniques (e.g. star schemas curated layers governed dimensions/measures)
• Cloud data platforms:Experience with modern cloud data platforms ideally:
  • Snowflakefor data warehousing and analytics workloads
  • AWSservices used in data storage/processing and pipeline operations
• Big data exposure (advantageous):Awareness of big data technologies and distributed processing patterns used in cloud analytics environments
• Customer case management tooling (nice to have):Familiarity with customer case management/CRM tooling to incorporate operational customer insights into MI and root-cause analysis (e.g. contact drivers complaint themes service performance).

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

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