科技職缺
職缺列表
Machine Learning Engineer II
Builds scalable machine learning frameworks and production-grade AI systems at TD Bank's Layer 6 AI center of excellence, working with deep learning, generative AI, and large-scale financial datasets using Python, PyTorch, TensorFlow, JAX, and similar tools.
Mobile Mortgage Specialist
Field-based mortgage sales role developing home loan business through referrals from realtors, builders, and financial planners. Works from a home office with commission-based earnings and unlimited earning potential at TD Bank.
IT Support Data Analyst III
Provide day-to-day application and system production support at TD Bank, triaging incidents, monitoring performance, and bridging business and technology teams using SQL, Unix, and database skills.
Mobile Mortgage Specialist I
Field-based mortgage sales role at TD Bank generating home loan business by building referral networks with realtors, builders, and financial planners while managing customer relationships in the Pickering, Ontario territory.
Investment Risk Performance - Senior Analyst
Senior analyst on Franklin Templeton's Performance & Attribution team analyzing equity/balanced portfolio performance, attribution, and risk metrics using FactSet/Aladdin, Python, SQL, Alteryx, Power BI, and Snowflake to support investment decisions and client reporting.
Product Manager
Product Manager at BBH in Boston who analyzes complex financial datasets, translates business requirements into technical specs, develops test plans, and supports production deployments for investor services platforms.
Cloud Software Engineer
Build automation and self-service tools, APIs, and services on Truist's Enterprise Public Cloud Platform. Day-to-day work involves full-stack development in Python/TypeScript/React with Terraform IaC, AWS services, and GitLab CI/CD pipelines to simplify cloud adoption for application teams.
Senior Full Stack Developer
Senior full-stack developer at Vanguard (Philadelphia, hybrid) designing and building enterprise applications using Angular, Node.js, TypeScript, Java/Spring Boot, and Python on AWS (ECS, Lambda, S3, CloudFormation), with Kafka-based integration and CI/CD practices.