Engineer the backbone of real‑time credit decisioning for global trading. Your team will deliver ultra‑reliable, low‑latency Java services where milliseconds matter and correctness is non‑negotiable. You’ll lead from the front‑setting technical direction, coaching engineers, and partnering with traders, quants, and risk to turn ideas into production systems that scale under load.What You’ll LeadLow‑Latency Architecture – Own solution design for high‑throughput, highly available components; drive concurrencybest practices, JVM tuning, and rigorous performance profiling to meet strict SLOs.Data & Model Integration – Oversee data preparation, validation, and model lifecycle management in line with established standards, with a focus on correctness, auditability, and repeatability.Hands‑On Technical Leadership – Lead design reviews, code reviews, and build quality bars across the SDLC; remove blockers and raise the team’s engineering game with a Java‑first approach.Platform Reliability – Evolve and support a mission‑critical automated trading platform (observability, incident response, root‑cause analysis) with an eye to resiliency, failover, and graceful degradation.People & Culture – Set clear goals, coach, and develop top talent; foster an inclusive, high‑trust setting aligned to our values; reward outcomes and elevate performance.Enterprise Collaboration – Partner across trading, quant, risk, operations, and platform engineering to plan roadmaps, manage dependencies, and communicate progress with clarity.Governance & Change – Ensure engineering practices meet control requirements (testing, documentation, release discipline,



model governance); implement change as market conditions and business priorities shift.And as needed – Take on broader responsibilities that advance the platform and the business.What You’ll Build & ImproveJava microservices that power real‑time credit checks and trade‑flow decisioning.Event‑driven integrations with market data, pricing, and risk engines; APIs for trading UIs and dealer workflows.Performance toolkits‑benchmarks, load tests, and reliability playbooks‑to keep systems fast and stable in production.QualificationsCore Experience7+ years in software engineering with significant enterprise Java focus; experience leading engineers or managing a dev team in a front‑office or near‑front‑office context.Track record delivering low‑latency, distributed systems supporting trading or risk workflows; comfort operatingin high‑stakes, trader‑facing environments.Education: Post‑secondary degree in Computer Science or related field (or equivalent experience). Combination of technical leadership, delivery excellence, and domain knowledge expected.Advanced ProficiencyJava – low latency, multi‑threading/concurrency, collections, JVM performance tuning, memory management, and profiling.Computer Science & Data Structures – strong fundamentals, clean code and API design, and testability.Risk Analytics & Financial Markets – understanding of pricing, market microstructure, and trade lifecycle.Automation & Delivery – CI/CD, automated testing, release discipline, and operational runbooks.Communication & Leadership – crisp written/oral communication; ability to influence across functions.Collaboration & Ambiguity – excels in cross‑group execution, making sound decisions with incomplete information.Data‑Driven Decisions – uses metrics, SLIs/SLOs,



and evidence to guide priorities and trade‑offs.Intermediate ProficiencyAdaptabilityLearning AgilityRelationship Building – thrive in a fast market and complex stakeholder landscape.Required Technical Stack (Java‑First)Programming: Java (primary), Spring/Spring Boot, REST; event‑driven and microservice patterns.Performance: Concurrency, lock contention analysis, GC tuning, async/reactive patterns; load and latency testing.Messaging & Streaming: Kafka/Solace (or equivalent), pub/sub, back‑pressure and replay strategies.Data: Oracle/PostgreSQL; schema design forhigh throughput; familiarity with Redis/Hazelcast (or equivalent).Observability: Metrics, logs, tracing (Prometheus/Grafana/ELK/Splunk); SLI/SLO management and on‑call readiness.DevOps & Cloud: Git, Jenkins/Azure DevOps CI/CD; Docker/Kubernetes;experience with Azure preferred.Security & Controls: Secrets management, least‑privilege access, auditability, model governance alignment.CompensationSalary$94,600.00 - $176,000.00Pay TypeSalaryAbout BMO Financial GroupÀ BMO, nous sommes animés par une raison d’être commune : Avoir le cran de faire une différence dans la vie, comme en affaires. Cette raison d’être nous invite à entraîner des changements positifs et durables pour nos clients, nos collectivités et nos gens. En travaillant ensemble, en innovant et en repoussant les limites, nous transformons des vies et des entreprises et favorisons la croissance économique partout dans le monde.EEO StatementBMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.#J-18808-Ljbffr

📌 Vice President, Risk Development - $94,600 - $176,000 A Year (Toronto)
🏢 BMO Financial Group
📍 Toronto