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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python development, AI-enabled application architecture, and Capital Markets technology solutions. Proven ability to lead technical teams, drive automation, and implement scalable systems while ensuring compliance and performance standards.
Highest-signal resume keywords
Python DevelopmentGenerative AI SolutionsCapital Markets ExpertiseCloud Platforms (Azure, AWS, GCP)CI/CD and DevOps Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIDjangoREST APIsMicroservicesMachine LearningSQLPostgreSQLNoSQLMLOps
Soft Skills
MentoringCollaborationLeadershipProblem-SolvingCommunication
Tools & Technologies
KubernetesGitContainersCI/CD ToolsFinancial Crime Solutions
Certifications & Qualifications
Azure AI EngineerAWS ML Specialty
Industry Keywords
Capital MarketsInvestment BankingTradingRisk ManagementRegulatory ReportingComplianceFinancial ServicesEnterprise IntegrationAutomationQuality Assurance
Tech Stack
Tools & technologiesAWSAzureCloudDjangoGoogle Cloud PlatformKubernetesMicroservicesMongoDBNoSQLPostgresPythonSQL
About the role
Key responsibilities & impact- Lead architecture and hands-on development of AI-enabled applications and platforms using Python
- Drive adoption of Generative AI, Machine Learning, and intelligent automation solutions
- Design scalable APIs, microservices, and enterprise integration frameworks
- Review and optimize application architecture for performance, resiliency, and scalability
- Mentor engineering teams and establish development best practices
- Translate business requirements into technical solutions supporting Capital Markets functions
- Lead technical design reviews, architecture governance, and engineering standards
- Guide implementation of AI platforms, model integration, and cloud-native solutions
- Evaluate and recommend technologies, frameworks, and tools
- Ensure engineering standards, testing strategies, and secure development practices
- Promote automation across testing, CI/CD, deployment, and operational monitoring
- Establish quality gates and review mechanisms to improve delivery outcomes
- Collaborate with client stakeholders, architects, product owners, and engineering teams
- Support strategic technology initiatives across Front Office, Risk, Compliance, and Operations domains
- Manage technical risks, dependencies, and delivery challenges
- Support the Capital Markets Technology Program and ensure successful program execution
Requirements
What you’ll need- 8-14 years of software engineering experience
- 5+ years of hands-on Python development experience
- Strong experience in Capital Markets, Investment Banking, Trading, Risk, Regulatory Reporting, or Market Data domains
- Expertise in Python, FastAPI, and Django
- Experience with REST APIs and microservices
- Experience with Machine Learning, MLOps, and Generative AI solutions
- Experience with SQL, PostgreSQL, and NoSQL, MongoDB
- Experience with cloud platforms: Azure, AWS, or GCP
- Experience with CI/CD, Git, Kubernetes, and containers
- Experience leading technical teams and enterprise-scale transformation initiatives
- Experience with Financial Services Office (FSO) products
- Experience with compliance and surveillance platforms
- Exposure to Actimize, Mantas, Feedzai, SAS AML, or equivalent financial crime solutions
- Azure AI Engineer, AWS ML Specialty, or equivalent certification preferred
- Financial Services and Capital Markets transformation experience preferred
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
Benefits
Comp & perks- Continuous learning and professional development
- Individually tailored coaching
- Tools and flexibility to make a meaningful impact
- Transformative leadership development, insights, coaching and confidence-building
- Diverse and inclusive culture
- Collaboration with global EY teams and exposure to projects with well-known brands
- Broad ecosystem of people, learning, skills and insights throughout the career