BMO Financial Group
Technology
EngineeringManager-FrontOfficeTradingRiskPlatforms
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“Engineering Manager - Front Office Trading Risk Platforms at BMO Financial Group. Skills: Java, Low-Latency, Distributed Systems, Engineering Leadership. Engineer and lead real time credit decisioning. Build and operate ultra reliable, low latency Java services”
What You'll Achieve.
Meet strict SLOs; Correctness is non-negotiable; Scale under peak market load; Elevate performance; Advance the platform and the business; Keep systems fast and stable in production
Industry & Context.
Root-cause analysis; Sound decisions with incomplete information
On-call readiness
What They're Looking For.
Must Have
7+ years in software engineering, significant enterprise Java 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, comfort operating in high-stakes, trader-facing environments, Post-secondary degree in Computer Science or related field (or equivalent experience), Combination of technical leadership, delivery excellence, and domain knowledge expected
Nice to Have
Azure preferred
What You'll Do.
Engineer and lead real time credit decisioning
Build and operate ultra reliable
low latency Java services
Set technical direction
Remain actively involved in design and code reviews
Lead a small team of engineers
Own solution design for high-throughput
highly available systems
Drive concurrency best practices
Rigorous performance profiling
Oversee data preparation
and model lifecycle management
Evolve and support automated trading platform
Coach and develop engineers
Ensure engineering practices meet control requirements
Implement change as market conditions shift
Build Java microservices
Build event-driven integrations
Build performance toolkits
How You'll Work.
Team & Collaboration
Partnering closely with trading, quant, and risk teams; Partner across trading, quant, risk, operations, and platform engineering; Manage dependencies; Communicate progress with clarity; Influence across functions
Communication Scope
Crisp written/oral ability to influence across functions; Communicate progress with clarity
Process & Methodology
Plan roadmaps
Full Job Description
Application Deadline: 05/31/2026 Address: 100 King Street West Job Family Group: Technology Engineer and lead the backbone of real time credit decisioning for global trading. This is a hands on engineering leadership role building and operating ultra reliable, low latency Java services where milliseconds matter and correctness is non negotiable. You will set technical direction, remain actively involved in design and code reviews, and lead a small team of engineers partnering closely with trading, quant, and risk teams to deliver systems that scale under peak market load. **What You’ll Lead** * Low‑Latency Architecture — Own solution design for high‑throughput, highly available components; drive concurrency best 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 environment 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
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