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Job Summary:
As a Trade Lifecycle Associate within our Securities Services Operation, you will be responsible for the end-to-end process of the trade lifecycle, ensuring timely processing and settlement of trades. You will investigate and resolve trade-related breaks in accordance with established work practices and procedures. Collaborate with various internal teams such as Middle Office, Pre-Matching, Cash Processing, Account Opening, and Asset Servicing to process transactions and resolve any exceptions in a timely manner. Perform root cause analysis for clients to increase Straight Through Processing (STP) and reduce client inquiries. Establish and maintain relationships with operations and middle office contacts at clients. Manage issues and exceptions above materiality thresholds for resolution, ensuring all day-to-day queries are dealt with within required SLAs and escalate issues to the team leader.
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Required Qualifications, Capabilities, and Skills:
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• Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
• Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
• Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
• Build reusable components that support scalability, modularity, and self-service quality tooling.
• Mentor junior engineers and influence technical standards across the Test Engineering Program.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
•Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
• Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
• Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
•Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
• Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.
Preferred Qualifications
• Exposure to machine learning workflows, model lifecycle management, or data engineering platforms.
• Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks).
• Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.
• Knowledge of platform security, monitoring, and resilient architecture patterns.
• Help shape the test engineering strategy for one of the largest AI/ML data platforms in the financial industry.
• Collaborate with highly skilled engineers and data scientists in a high-impact, growth-oriented environment.
• Gain access to world-class infrastructure, tooling, and learning opportunities.
• Build software that powers decisions for millions of customers and drives real business value.
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As an Audit Manager - Commercial and Investment Bank Technology -you will beand
Job responsibilities
Required qualifications capabilities and skills
Preferred qualifications capabilities and skills
These jobs might be a good fit

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These jobs might be a good fit

Share
These jobs might be a good fit

Share
Job Responsibilities:
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
These jobs might be a good fit