Converge Signals, Fsi

The Team

The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future.

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both We are looking for a talented Data Scientist to join the Converge for FSI team and help build differentiated, data-driven financial services products that achieve product-market fit. This is a great opportunity to work at the intersection of advanced analytics and financial services industry expertise, developing the models and insights that power Signals for FSI and future products in the Converge for FSI portfolio.

Position Summary

We are looking for a highly skilled and client-facing Engineering Lead to sit at the intersection of engineering excellence and customer partnership, supporting the Signals for FSI product. Signals is a proprietary set of data assets coupled with AI, data science, and statistical models that help our clients drive business growth and power decisions in a dynamic and changing market. You'll own the architecture decisions that turn this from a collection of prototypes into a real platform: a shared data pipeline and warehouse that any app in the suite can draw from, a common geospatial/demographic data layer that scales nationally. In this role, you will partner with our product & data science team to integrate new data sources and harden prototypes into applications based on client feedback. This is a high-impact, high-visibility role with direct influence on product direction. You will be part of the General Manager's leadership team, responsible for proactively bringing ideas that push the business forward, weighing in on key decisions, and helping junior resources across the team overcome hurdles. This is a build-it-for-real role for someone who's done this exact transition before - not scaling one app, but building the reusable foundation that lets a whole suite of client-facing products scale together.

Recruiting for this role ends on 12/1/2026.

Work you'll do

As the Engineering Lead, you will work at the intersection of data science, engineering, and financial services domain expertise to build and refine the data platforms, models, and analytics that power Signals for FSI:

Rapidly prototype and build POCs using financial services datasets and data models that demonstrate value in the context of a client's real-world use cases
Lead teams of onshore and offshore data engineers and application engineers to harden prototypes into production grade applications that satisfy the highly secure and regulated environments of financial services.
Collaborate with internal Product & Data fabric teams to integrate new data sources and design and build scalable, production-ready data pipelines and applications.
Partner with the Product team and client architects to translate financial services use cases into requirements, features, and application specifications.
Recognize and promote opportunities for reuse when designing prototypes and applications.
Evaluate data, model and application performance against business and regulatory considerations relevant to financial services and iterate based on findings.
Translate analytical findings into clear, business-relevant insights for Product, Sales, and client-facing teams to shape the technical go-to-market strategy.
Maintain a library of reusable demo assets, hardened applications, and reference implementations.
Stay current on emerging AI/ML techniques and financial services data trends, and evaluate their application to the Signals for FSI roadmap.
Produce high-quality technical documentation, runbooks, and integration guides.

The successful candidate would possess these skills:

Experience in building data and insights products and pipelines that power insights and signals for business users to drive growth decisions.
Demonstrated ability to take a working prototype and re-architect it for production scale, cost, and reliability - not just incremental feature work
Exceptional written & verbal communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike; able to translate infrastructure tradeoffs for non-technical stakeholders
Proven experience designing and scaling geospatial/location-based data systems (spatial indexing, PostGIS, H3, or equivalent) - ability to replace client-side point-in-radius rendering with server-side spatial queries at scale
Strong background in ETL/data pipeline engineering - designing schedu