BNY
From BNY's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You'll write production code using Codex or Claude, own production systems, and ship features that process real financial transactions.
BNY's Loans Platform team is building the firm's strategic platform for loans and structured credit products, including notes and CLOs. It combines AI-powered document processing, a deterministic policy engine, event-driven agent services, and blockchain-based transaction recording to modernize how complex credit agreements are onboarded and serviced and how trades are settled at scale. The platform will replace legacy loans systems.
This is a hands-on, AI-enabled engineering role. You'll write production code using Codex or Claude, own production systems, and ship features that process real financial transactions. The team is intentionally small and senior, using AI throughout the software development lifecycle to operate with exceptional leverage. You'll also provide technical leadership, setting engineering standards, mentoring the team, and driving the platform roadmap alongside active client delivery. Success means shipping a high-quality product that clients adopt-one that reduces costs and generates revenue for the firm.
The Platform
AI-powered document processing-LLM pipelines that extract and structure complex financial terms from several-hundred-page credit agreements using RAG architectures and knowledge graph platforms.
Policy engine- per-deal rule sets generated from extracted terms that encode interest accrual, margin pricing, drawdown validation, amortization schedules, fees, and default behavior as deterministic, auditable business logic.
Agent services-event-driven Java services that orchestrate day-to-day loan servicing -contract creation, accrual processing, rate resets, paydowns, borrower elections- by querying the policy engine and recording transactions on-chain.
Blockchain ledger- smart contracts on a private chain that serve as the immutable record of all cash movements, position updates, and schedule changes.
Operations tooling-React dashboards for operations teams, lenders, and borrowers, with integrated exception-management workflows.
Take primary ownership of one area of the platform while contributing across the stack- backend services (Java/Python), frontend tooling (React), AI orchestration, smart contracts, or policy logic
Design, build, and own components end-to-end from technical discovery through production deployment
Architect event-driven systems using Kafka, containerized deployments, and resilient distributed-systems patterns
Lead technical discovery and rapid prototyping to validate new capabilities before committing to production builds
Establish coding standards, architectural patterns, and engineering best practices that keep the codebase maintainable as the team scales
Mentor engineers, lead code reviews, and create a culture of technical rigor
Collaborate with product, operations, and compliance teams to translate business requirements into working systems
Communicate technical strategy and trade-offs to senior leadership in clear, actionable terms
10+ years of software engineering experience, with a strong track record of shipping production systems.
Deep proficiency in at least one layer of stack -backend services, frontend UIs, AI/ML systems, blockchain, or data infrastructure with the ability to work across others
Strong fundamentals in distributed systems, event-driven architecture, and API design
Experience with some combination of: Java, Python, React, Kafka, Oracle, Snowflake, Docker/Kubernetes
Fluency with AI-assisted software development, including using coding agents such as Codex and Claude to move quickly without compromising quality
Experience with LLMs, prompt engineering, RAG architectures, or AI/ML integration is a strong plus
Familiarity with blockchain, smart contracts, or on-chain transaction systems is a strong plus
Financial services or capital markets experience is a plus - you don't need to be a loan expert, but you should be comfortable learning the domain quickly
You default to building and shipping over theorizing -prototypes, working code, and measurable results matter more than slide decks
This isn't a typical enterprise engineering job. You'll work at the intersection of AI, programmable policy, and financial infrastructure- building systems that digitize complex legal documents, automate loan servicing operations, and drive real money movement. The problems are hard, the domain is complex, and the impact is direct.
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