Prompt Engineer

Prompt Engineer Start Date: ASAP Duration: 6 months Location : Toronto, ON Hybrid: 2-3 days on site About the Role The role is responsible for designing, optimizing, and operationalizing AI prompts and workflows that power decision-making across Capital Markets and Commercial Banking functions, including Trading, Corporate Banking, Credit Structuring, Research, Risk, and Operations. This role bridges front-office business needs and AI-driven insights, ensuring AI platforms deliver accurate, timely, and context-aware outputs aligned with market dynamics, regulatory requirements, and enterprise data. By developing a deep understanding of bankers’ day-to-day workflows, the Prompt Engineer creates curated, workflow-specific prompts and AI experiences that improve productivity, streamline processes, accelerate analysis, and enhance client service. The role also owns the design, governance, and continuous improvement of a centralized prompt library, providing reusable, scalable, and business-aligned prompt assets that drive consistent AI outcomes, promote best practices, and accelerate adoption across the organization. Team Structure: Sole position reporting to HM, mostly independent but collaborative with stakeholders in Corporate Banking and broader Capital Markets. Role Responsibilities: AI Prompt Engineering for Capital Markets (Corporate Banking, Global Markets, Investment Banking) and Commercial Banking • Design and optimize prompts for use cases across trading desks, sales workflows, research generation, pricing analytics, and risk reporting • Tailor prompts for persona-specific needs (e.g., traders, sales, quants, risk managers) Business-to-AI Translation • Translate complex Capital Markets workflows (trade lifecycle, credit adjudication, pricing, P&L, exposure) into effective AI-driven interactions • Enable AI to generate insights on market events, positions, client portfolios, and trade opportunities AI-Driven Decision Enablement • Ensure AI outputs are context-aware (market data, client context, regulatory constraints) and decision-ready • Enable scenario analysis, trade recommendations, and risk insights using AI workflows Integration with Enterprise Data & Platforms • Leverage structured and unstructured data (market feeds, trade data, research, client notes) • Integrate prompts with Microsoft Fabric, Graph, Dataverse, and trading/risk systems • Support RAG-based architectures for research and knowledge retrieval Continuous Optimization & Performance Tuning • Evaluate prompt performance using real trading scenarios • Iterate using feedback from traders, sales, and risk teams • Improve precision, latency, and reliability of AI outputs Governance, Compliance & Responsible AI • Ensure AI outputs comply with Capital Markets and Commercial Banking regulations (e.g., trade surveillance, auditability, model risk) • Embed guardrails for data privacy, explainability, and approval workflows • Align with enterprise AI governance and model validation standards Adoption & Enablement • Develop reusable prompt libraries for trading, research, and sales workflows • Train front-office and middle-office teams on effective AI usage • Drive adoption of AI-assisted workflows across Capital Markets and Commercial Banking Key Competencies • Market-Aware Analytical Thinking – Ability to interpret market movements and translate them into AI use cases • Structured Problem Solving – Breaking down complex trading workflows into AI-driven components • Business-to-Technology Translation – Converting front-office needs into scalable AI solutions • Decision-Oriented Communication – Delivering clear, actionable AI outputs for time-sensitive decisions • Continuous Learning & Adaptability – Keeping up with evolving AI capabilities and market changes • Precision & Risk Awareness – Ensuring high accuracy in AI outputs in a high-stakes financial environment Must Have Skills: • Strong experience (3+ years) in Capital Markets and Commercial Banking Sales, including but not limited to credit adjudication, AML/KYC, trading, investment products etc. • Understanding of credit adjudication lifecycle, product offerings, pricing models, P&L, risk metrics (VaR, sensitivities), and regulatory controls • 1+ year of hands-on experience designing prompts for LLMs / Copilot / GenAI platforms • Experience with RAG pipelines, vector search, embeddings, and agentic workflows • Strong data analysis skills (structured + unstructured datasets) • Familiarity with market data sources and financial datasets • Ability to work closely with traders, bankers, risk managers, and technology teams • Strong communication and translation across business and technology Nice to Have Skills: • Microsoft ecosystem experience (Fabric, Power Platform, Graph API integration, etc) • Amazon Bedrock Agent core experience • Relevant postsecondary degree Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the Canada, Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian will on request provide accommodation for disabilities to support your participation in all aspects of Recruitment, Assessment and selection process.

Design and optimize AI prompts and workflows to enhance decision-making across Capital Markets and Commercial Banking functions. Manage a centralized prompt library and ensure AI outputs comply with financial regulations and enterprise governance.

Requires over 3 years of experience in Capital Markets/Commercial Banking and at least 1 year of hands-on prompt engineering for LLMs. Proficiency in RAG pipelines, financial data analysis, and the ability to translate complex banking workflows into AI interactions is essential.

• Data analysisPreferred
• prompt engineeringPreferred

Identified from the job description. Confirm important requirements above.

• Prompt Engineering
• Capital Markets
• Commercial Banking
• LLMs
• RAG Pipelines
• Vector Search
• Embeddings
• Agentic Workflows
• Data Analysis
• Credit Adjudication
• Microsoft Fabric
• Amazon Bedrock
• Financial Risk Metrics
• AI Governance
• Business-to-Technology Translation
• Copilot

• Technology
• Finance & Accounting
• Data & Analytics
• Software
• Engineering

Minimum education

High school

Minimum experience

2+ years

Apply by

Sep 26, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available