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Embrace new challenges and deliver real value to some of the world’s most influential financial institutions, including banks, insurance companies, wealth and asset managers, capital markets firms, private credit platforms, and fintechs. Work side by side with business leaders to solve complex client challenges and make a meaningful impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.

The Team – Financial Services Business Solution Engineering

Highspring’s Financial Services Business Solution Engineering team helps financial institutions solve complex business problems that cross traditional functional boundaries. We bring together strategy, business architecture, finance and accounting, risk, operations, data, AI, and technology to design and deliver practical business solutions.

Our work spans the front, middle, and back office, from lending origination and servicing platforms to finance and subledger architecture, risk transformation, enterprise data platforms, and AI-enabled operations. We turn complex business problems into executable solutions by connecting people, process, data, technology, governance, and controls.

Your Impact

As a Senior Consultant, you will work directly with client and Highspring teams to understand complex business challenges, design solutions, and help move those solutions into execution.

You will:

Break down ambiguous business problems into clear issues, hypotheses, analyses, and actions.
Assess current-state business processes, capabilities, operating models, controls, data, and enabling technologies.
Design future-state solutions across people, process, data, technology, governance, and controls.
Map end-to-end business processes and platform operating models, identifying interaction models, handoffs, dependencies, control points, and opportunities to simplify how work gets done.
Support the design and modernization of lending origination, underwriting, servicing, payments, deposits, models, treasury, and other financial services platforms.
Help design finance architectures spanning operational platforms, subledgers, general ledgers, consolidation, and financial and regulatory reporting.
Assess and design how enterprise data platforms support business processes, reporting, analytics, risk management, AI, and decision-making.
Translate business needs into data products, data requirements, integration patterns, semantic models, reporting requirements, and governance expectations.
Understand how modern cloud and data platforms such as Microsoft Azure, Snowflake, Databricks, and similar technologies can enable broader business solutions.
Identify opportunities to redesign processes using AI, enterprise agents, workflow automation, and low-code technologies such as Microsoft Power Automate.
Help design enterprise agents that connect data, workflow, and business rules to automate information retrieval, case management, exception handling, reporting, controls, and employee decision support.
Translate business requirements into process, functional, data, control, and technology requirements that implementation teams can execute.
Develop capability models, target operating models, process maps, business requirements, data requirements, decision rights, and implementation roadmaps.
Help clients establish OKRs, KPIs, and performance-management frameworks that connect strategic objectives to measurable business outcomes.
Support risk transformation across operational risk, enterprise risk, controls, regulatory change, resilience, and first- and second-line operating models.
Support complex transformation programs, including M&A integration, finance transformation, regulatory change, enterprise data, AI, and technology modernization.
Participate in client workshops, requirements-gathering sessions, and executive presentations.