Fraud Solution Data Architect

Benhur; Toronto; On-site; CAD 150,000 - 200,000; Part time

Job summary

A financial services company based in Toronto is seeking a Mid-Senior level Solutions Architect to design and implement fraud prevention systems. The ideal candidate will possess expertise in .Net and cloud architecture, with a strong focus on ensuring adherence to security standards. This contract position offers the opportunity to work closely with various teams to deliver high-quality solutions in a dynamic environment.

Qualifications

• Deep understanding of fraud prevention and detection tools.
• Experience with cloud architecture, preferably AWS or Azure.
• Ability to design scalable and reliable systems.

Responsibilities

• Architect and design technical solutions for banking client.
• Translate business requirements into technical specifications.
• Ensure adherence to data security standards.

Skills

Fraud prevention expertise

.Net proficiency

Proficiency in RESTful APIs

Cloud architecture knowledge

Problem-solving skills

Tools

AWS

Azure

SQL Server

Splunk

Job description

Overview

Location: Toronto

Contract

Banking client

Toronto, Ontario, Canada

Responsibilities

• Architect conceptual, logical, and physical solution design, including blueprints, SA artifacts, and process / sequence diagrams.
• Evaluate and translate business requirements into technical requirements and ensure solutions are aligned with enterprise architectural standards and security principles.
• Recommend fraud prevention and detection tools and technologies, assessing vendor products like Detica, TSYS, Equifax / Citadel, SAS, Interac / Acxsys, Carreker / CAS, Computrol, Memento.
• Work with business stakeholders, engineering teams, security, and compliance teams to ensure seamless integration and successful implementation of solutions.
• Provide technical guidance and support to development teams, and drive architectural governance processes.
• Apply cybersecurity and regulatory principles to ensure solutions meet enterprise data security standards.

Key Skills & Knowledge

• Fraud & Payments Expertise : Deep understanding of fraud prevention / detection tools, workflow, scoring models, and concepts related to payments, banking, and customer authentication.
• Technical Acumen : Proficiency in .Net, RESTful APIs, Splunk, event-driven architecture, cloud architecture (AWS, Azure), and cybersecurity concepts.
• Architectural Principles : Ability to design for high availability, scalability, reliability, and real-time decisioning.
• Problem-Solving : Ability to conduct discovery analysis, identify issues, and develop creative solutions to meet business needs.

Typical Tools & Technologies

• Cloud Platforms : AWS, Azure, Hybrid including SAS
• Security Concepts : Multi-Factor Authentication (MFA), encryption, device biometrics.
• DB – Sybase, SQL Server

Seniority level

• Mid-Senior level

Employment type

• Contract