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BNY's Wove Trading & Rebalancing team builds and operates the technology platform behind PershingX - the digital investing, trading, and portfolio management experience for wealth management firms, advisors, and asset managers.

The platform spans 50+ microservices and microfrontends processing portfolio rebalancing, order generation, trade execution, sleeve allocation, tax harvesting, and investment operations across multiple custodians and investment products (SMA, URPM, UMA). Our users range from individual financial advisors managing client portfolios to large-scale asset managers executing firm-wide model changes across thousands of accounts.

We ship production code daily across a polyglot stack: Angular microfrontends (Module Federation), a NestJS GraphQL BFF, Java 21 / Spring Boot 3.x backend services, and Kafka-driven event pipelines - all deployed on BNY's cloud-native App Engine infrastructure. We use AI-assisted engineering practices to accelerate the full software development lifecycle.

The Role
We are looking for a Vice President, Full-Stack Engineering Lead in New York City to own the technical direction, delivery, and operational health of the Wove Trading & Rebalancing platform.
This is a hands-on leadership role. You will write code, review architecture, lead incident response, and mentor engineers, while also driving the strategic roadmap with Product and Business stakeholders. You will be responsible for a platform that must be correct (it moves money), resilient (market hours are non-negotiable), and scalable (the client base is growing rapidly across multiple wealth management firms).

Architecture & System Design

• Own the technical roadmap for the Trading & Rebalancing platform - from rebalancing compute engines and order generation pipelines to advisor-facing trading dashboards.

• Design and evolve a multi-personal, multi-custodian entitlements architecture that supports advisors, home office users, portfolio managers, and asset managers - each with distinct data hierarchies, trading discretions, and custody constraints.

• Drive the "One BFF" initiative: consolidating functional and data entitlements resolution into a unified NestJS GraphQL middleware layer using strategy patterns, guard chains, and per-persona data scoping.

• Make architecture decisions across the full stack - Angular microfrontends, NestJS services, Spring Boot microservices, Kafka consumers/producers, Hazelcast distributed caching, and the DataLake API persistence layer.

Full-Stack Engineering

• Build and maintain high-performance backend services in Java 21 / Spring Boot 3.x - order generation engines, rebalancing workflows, allocation services, validation engines, custodian rules engines, and trade automation pipelines.

• Develop and extend Angular microfrontends using Module Federation - trading worksheets, order review screens, overview dashboards, trading rules configuration, tax harvesting, sleeve allocation, and custom rebalance UIs.

• Design and operate a NestJS GraphQL BFF that resolves entitlements from EMS and Admin Center, orchestrates downstream service calls, and delivers persona-aware data to the frontend.

• Implement secure service-to-service communication using mTLS certificates, OAuth2/JWT, and Kerberos authentication - all integrated with BNY's API Gateway and marketplace token exchange.

• Trading & Rebalancing Domain

• Deliver capabilities for portfolio rebalancing workflows, model management, proposed order generation, order review, and order submission - supporting equities, fixed income, and multi-asset sleeve strategies.

• Build systems that handle multi-custodian complexity: Pershing, Schwab, and bank custody-including cross-hierarchy custodian bindings where different firms route through different custodians.

• Implement per-client trading discretion configuration (e.g., one firm can trade true UMA while another is restricted to SMA/URPM only).

• Ensure platform compliance with regulatory, audit, and risk requirements in a financial services environment.

AI-Enabled Engineering

• Champion AI-assisted development across the SDLC- design, coding, testing, code review, documentation, and production support.

• Drive engineering productivity through AI-powered tools for automated test generation, release impact analysis, and incident root cause identification.

• Lead adoption of agentic AI workflows that integrate with the team's existing CI/CD, SonarQube quality gates, and GitLab pipelines.

• Operational Excellence

• Own production readiness across the service catalog -availability, resiliency, observability (Splunk, Dynatrace), and platform health.

• Lead major incident resolution and root cause analysis. Market-hours downtime is not acceptable.

• Reduce operational burden through automation, intelligent monitoring, and self-healing patterns.

• Drive continuous improvement in deployment frequency, change failure rate, and mean time to recovery.

People Leadership

• Lead and mentor engineers across frontend, backend, BFF, and platform disciplines.

• Foster a culture of ownership, engineering excellence, and continuous learning.

• Support hiring, talent development, and organizational growth.

Required Qualifications

• 5-9 years of software engineering experience, with significant time designing and delivering distributed systems in financial services.

• Deep hands-on expertise in at least two of the following, with working knowledge of all: 

• Java 17+ / Spring Boot 3.x -microservices, virtual threads, security filter chains

• Angular 15+ -component architecture, signals, Module Federation / microfrontends

• NestJS / TypeScript- GraphQL resolvers, guards, interceptors, strategy patterns

• Strong experience with event-driven architectures - Kafka producers/consumers, async messaging, dead-letter queues, idempotent processing.

• Experience with NoSQL persistence (MongoDB or document stores) data modeling, query optimization, API-mediated access patterns.

• Solid understanding of authentication and authorization in enterprise environments - OAuth2, JWT, mTLS, Kerberos, entitlements systems.

• Experience building multi-tenant or multi-persona platforms where different user types see different data, have different permissions, and follow different workflows.

• Proven track record of leading Agile engineering teams and delivering in a CI/CD environment with automated quality gates (SonarQube, security scanning).

• Strong communication, collaboration, and stakeholder management skills.

• Bachelor's degree in computer science, Engineering, or equivalent professional experience.

Preferred Qualifications

• Experience with wealth management, trading, or portfolio management platforms - rebalancing, order management, custody, or investment advisory systems.

• Experience modernizing monolithic applications into microservices using the Strangler pattern.

• Familiarity with distributed coaching (Hazelcast, Redis) and real-time data patterns (WebSockets, SSE).

• Experience with observability platforms - Splunk, Dynatrace, AppDynamics, or OpenTelemetry.

• Experience implementing AI-assisted software development practices and engineering automation.

• Knowledge of cloud platforms, container orchestration, and infrastructure-as-code.

• Experience managing geographically distributed teams.

• Series 7 / Series 63 or CFA/CAIA is a plus but not required.

• Advanced degree in Computer Science, Engineering, Finance, or a related field.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

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• America's Most Innovative Companies, Fortune, 2025
• World's Most Admired Companies, Fortune 2025
• "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.