Engineering Manager - Front Office Trading Risk Platforms

BMO•Toronto, ON

8d•Onsite

About The Position

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.

Requirements

7+ 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 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.
Advanced Proficiency Java (primary language) — 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.

Nice To Haves

Intermediate Proficiency Adaptability Learning Agility Relationship Building — thrive in a fast market and complex stakeholder landscape.
Java (primary), Spring/Spring Boot, REST; event-driven and microservice patterns.
Concurrency, lock contention analysis, GC tuning, async/reactive patterns; load and latency testing.
Kafka/Solace (or equivalent), pub/sub, back-pressure and replay strategies.
Oracle/PostgreSQL; schema design for high throughput; familiarity with Redis/Hazelcast (or equivalent).
Metrics, logs, tracing (Prometheus/Grafana/ELK/Splunk); SLI/SLO management and on-call readiness.
Git, Jenkins/Azure DevOps CI/CD; Docker/Kubernetes; experience with Azure preferred.
Secrets management, least-privilege access, auditability, model governance alignment.

Responsibilities

Own solution design for high-throughput, highly available components; drive concurrency best practices, JVM tuning, and rigorous performance profiling to meet strict SLOs.
Oversee data preparation, validation, and model lifecycle management in line with established standards, with a focus on correctness, auditability, and repeatability.
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.
Evolve and support a mission-critical automated trading platform (observability, incident response, root-cause analysis) with an eye to resiliency, failover, and graceful degradation.
Set clear goals, coach, and develop top talent; foster an inclusive, high-trust environment aligned to our values; reward outcomes and elevate performance.
Partner across trading, quant, risk, operations, and platform engineering to plan roadmaps, manage dependencies, and communicate progress with clarity.
Ensure engineering practices meet control requirements (testing, documentation, release discipline, model governance); implement change as market conditions and business priorities shift.
Take on broader responsibilities that advance the platform and the business.