FP Inc.

www.fpinc.ca

4 Jobs

41 Employees

About the Company

WHO WE ARE

We are a specialist FinTech and Financial Services recruitment consultancy. We have been helping clients attract, hire and retain staff across all areas from technology to finance. By being specialists in our sectors, we are able to use our deep and active network of professionals to quickly match the best people with great permanent and contract job opportunities.

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 WE PLACE:
-Accounting & Finance
-Banking Operations & Middle Office
-Risk & Compliance
-Fund Accounting
-PMO
-Business Analysts
-IT Manager
-Cloud Professionals
-DBA
-Data Specialists
-Design
-QA & Testing
-Developers

Listed Jobs

Company Name: FP Inc.
Job Title: Data Scientist - Advance
Job Description: Job title: Data Scientist – Advanced Role Summary: Develop, test, and deploy AI agents to improve audit efficiency, applying advanced machine learning and generative AI techniques within risk and compliance. Expectations: - Deliver end‑to‑end data pipelines and production‑grade code. - Communicate findings and solutions to audit staff, product owners, and executives. - Rapidly adapt new research methods to enterprise projects. Key Responsibilities: - Design and implement supervised and unsupervised ML models (classification, clustering, anomaly detection). - Build and maintain data pipelines: ingestion, cleaning, feature engineering, and integration of heterogeneous data sources. - Prototype generative AI tools (Langgraph, LlamaIndex) to automate and augment internal audit processes. - Collaborate with cross‑functional stakeholders to define requirements and translate business needs into technical solutions. - Document models, code, and technical decisions for reproducibility and auditability. - Stay current with peer‑reviewed research and incorporate state‑of‑the‑art methods into production. Required Skills: - Proficient in Python (including PySpark) and SQL. - Experience with Langgraph, LlamaIndex, Docker, and building production‑ready ML pipelines. - Strong knowledge of supervised/unsupervised ML, data preprocessing, feature learning, and outlier detection. - Excellent communication, documentation, and cross‑team collaboration abilities. Required Education & Certifications: - Master’s degree (or Ph.D.) in Computer Science, Mathematics, Statistics, Engineering, or related quantitative field. - Thesis‑based Master’s in basic sciences (physics, biology, computational sciences) acceptable. - Undergraduate degree in a quantitative discipline (engineering, statistics, maths, CS, economics, sociology, psychology) preferred.

Toronto, Canada

Hybrid

18-12-2025

Company Name: FP Inc.
Job Title: Data Engineer/ Python Developer
Job Description: Job Title: Data Engineer / Python Developer Role Summary: Design, develop, and maintain scalable data pipelines and services using Python, Flask, MS SQL, and Google Cloud Platform. Lead deployment and code quality processes, mentor junior staff, and drive continuous improvement. Expectations: - Deliver complex development tasks on time. - Prioritize risks, adjust schedules proactively. - Coach and mentor junior developers. Key Responsibilities: - Design and implement Python/Flask applications and data processing workflows. - Coordinate deployments to IST, UAT, and production environments. - Lead code reviews, enforce coding standards, and maintain documentation. - Develop and maintain Azure/Google Cloud resources (Airflow, Kubernetes, Cloud Storage). - Suggest and implement process enhancements. Required Skills: - 8‑9 years of professional experience with Python, Flask, and MS SQL. - 5+ years of experience on Google Cloud (Airflow, Kubernetes, Cloud Storage). - Strong understanding of CI/CD, version control, and DevOps. - Ability to lead a technical team, mentor juniors, and manage project priorities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Certifications in Google Cloud (e.g., Professional Data Engineer) preferred but not mandatory.

Company Name: FP Inc.
Job Title: Cloud Engineer
Job Description: Job title: Senior Cloud PC Engineer Role Summary: Lead the design, automation, and operational excellence of a global Windows 365 Cloud PC environment, driving performance, compliance, and scalability while mentoring engineering teams. Expectations: - Deliver enterprise‑scale Windows 365 solutions and automation frameworks. - Maintain image factories, version control, validation, and release cycles for a users base of 100,000+. - Guide technical strategy, troubleshooting, and process improvement for virtual workspaces. - Mentor and coach cross‑functional teams and produce reusable engineering standards. Key Responsibilities: 1. Engineer and automate Windows 365 provisioning, scaling, and compliance with PowerShell and Microsoft Graph API. 2. Lead the Cloud PC image factory workflow—versioning, testing, release, and global deployment. 3. Troubleshoot and resolve complex root‑cause issues, recommend architectural changes, and influence future virtual workspace strategy. 4. Conduct pair‑programming and technical coaching sessions to elevate team skill levels. 5. Create and maintain operational runbooks, engineering standards, and reusable architectural patterns. Required Skills: - 8+ years in Windows 365 Cloud PC solutions for large enterprises. - 7+ years deep expertise in Microsoft Intune, Entra ID, and Windows OS internals. - Advanced scripting with PowerShell and Microsoft Graph API for automation. - Strong debugging, root‑cause analysis, and performance tuning. - Experience with Azure Monitor, Log Analytics, ITIL/CMDB governance. - Excellent written and verbal communication; ability to document processes and lead workshops. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, or related engineering field. - Relevant Microsoft cloud certifications (e.g., Microsoft Certified: Azure Solutions Architect, Azure Administrator, or MS‑ADM‑88) preferred but not mandatory. (NO ADDITIONAL TEXT)

Company Name: FP Inc.
Job Title: Python Developer
Job Description: Job Title: Python Developer Role Summary: Design, develop, and maintain scalable Python applications within a cloud‑native environment, ensuring high code quality, performance, and maintainability. Expectations: Deliver end‑to‑end solutions from architecture to deployment, collaborate across cross‑functional teams, and uphold coding standards while continuously improving processes. Key Responsibilities: - Write clean, well‑structured Python code following best practices and design patterns. - Optimize existing codebases for performance and simplicity. - Conduct thorough code reviews and enforce quality standards. - Produce comprehensive documentation, flowcharts, and architecture diagrams. - Deploy and manage services using Google Cloud Platform (Functions, BigQuery, DataFlow, DataProc, Pub/Sub) and container orchestration (Kubernetes, Docker). - Design and implement batch and real‑time data pipelines using SQL, Airflow, and other scheduling tools. - Apply object‑oriented design principles and maintain robust version control (Git/Bitbucket). Required Skills: - 8+ years of professional development experience (Java, Python, C++). - 3+ years of recent hands‑on Python development. - Proficiency with Pandas, NumPy, and SQL. - Experience with GCP services (Functions, BigQuery, DataFlow, DataProc, Pub/Sub). - Familiarity with Kubernetes, Docker, and Airflow. - Strong grasp of Python best practices, OOP, and Git workflows. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.