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FP Inc.

Verified Job SourceRecruitment agency

Where Talent meets Opportunity !

Toronto, Ontario

Staffing and Recruiting
51–200 people

About

WHO WE ARE FP Inc. is a recruitment partner dedicated to helping professionals like you find opportunities in technology, fintech, banking and financial services. We use our deep industry network to connect talented candidates with roles that match their skills and ambitions. With decades of experience, our team is here to guide your career growth and open doors to leading employers. WHAT WE DO: We deliberately work on a small number of assignments allowing us the time to deeply search for talent for your business. By partnering with an excellent client base including Banks, Financial Services Firms, FinTech companies at various stages and established multinationals, we are able to present compelling career opportunities to industry professionals. SECTORS WE WORK IN: -Technology -FinTech -Infrastructure -Financial Systems -Banking & Securities -Wealth Management & Advisory -Fund Management -Fund Services -Payment Services -Financial Services -Insurance -Real Estate Investment Trusts -Real Estate Development -Construction Finance and Private Equity SKILLS/ROLES WE PLACE: - Business Analysts (Business Analyst, IT Business Analyst) - Software Developers (Multiple tech development roles) -Technical Analyst / IT Specialists (Systems, security, support) - Project Managers (IT / digital project leadership) - Data Analyst / Data Quality Analysts (Analytics and BI) - Interaction / Content / UX Designers (Design and content roles) - Cybersecurity / Controls Roles (Cyber controls assurance, security-related tech) - Banking Operations / Capital Markets Analyst (Financial operations roles) - Procurement / Sourcing Roles (Procurement Manager, etc.)

Open positions

Recruiter - Corporate

On-site · Winnipeg

Partner with the recruitment team to identify, source, and screen suitable candidate profiles for high-volume corporate roles. Manage the end-to-end assessment process and maintain accurate candidate documentation within the Workday applicant tracking system.

Operations Officer

On-site · Toronto

The officer is responsible for completing at least 60 manual drafts daily for closed accounts and NFDG. They will also assist with decisioning and sending email scripts for the pay/no pay process.

eComm Management Analyst

On-site · Toronto

Maintain client and account data within Capital Markets front and back-office systems while ensuring data quality and accuracy. Collaborate with stakeholders and IT to manage e-Comm setups and perform root cause analysis on system exceptions.

SFTP and Cash Management Analyst

On-site · Toronto

Support the migration of clients from a legacy platform to a new application by analyzing inbound files and configuring systems. Monitor post-migration processing and maintain communication with customers to ensure successful go-live activities.

Python Developer

On-site · Toronto

Develop and maintain in-house applications, backend APIs, and production-grade ETL pipelines to provide business value. Collaborate with investment teams to specify requirements and support the Investment Platforms Engineering team.

SQL Server DBA - Database Security, HA/DR, Cloud

On-site · Toronto

Plan, configure, and deploy Microsoft SQL Server instances across on-premises and cloud environments while adhering to security and regulatory standards. Maintain software currency through patching and upgrades while supporting high availability and disaster recovery solutions.

Expert Risk Analyst

On-site · Toronto

Manage and develop predictive risk models using AI and machine learning to support commercial and wholesale credit risk. Responsibilities include sourcing data, engineering features, and collaborating with stakeholders to ensure models are business-sound.

Senior Data and AI Security Architect

On-site · Toronto

Serve as the lead security advisor for Azure Databricks and AI/ML platforms, providing architectural guidance on data governance and network security. Perform threat modeling and risk assessments across the ML lifecycle to ensure secure integration of LLMs and data pipelines.