State Street

Risk

• Validate corporate audit findings across technology governance, cyber security, identity & access management, infrastructure, and platform controls
• Assess design and operating effectiveness of remediation actions and supporting evidence
• Engage with audit teams and GTS stakeholders to assess and challenge appropriate remediation plans
• Identify recurring themes and risk trends to support management insights and continuous improvement
• Escalate potential issues or obstacles to audit management along with proposed solutions
• Establish and maintain strong relationships with audit teams

Assistant Vice President – Global Issue Assurance, Technology Risk

QA Automation Engineer

• Build, lead, and mentor a high-performing team of AI Automation Engineers focused on advancing cybersecurity operations through automation and AI-driven innovation.
• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
• Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.

Lead AI Security Automation Engineer

• Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
• Mentor junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership

Senior AI Security Automation Engineer

Accounting Manager

• responsible for the preparation, analysis and reporting of investment and fund performance data for global real estate funds and affiliated entities
• manage multiple functions including maintaining the general ledger for various fund entities
• preparing supporting work papers for financial statements, portfolio schedules and capital account allocations
• preparing financial statements and footnote disclosures
• analytical review of monthly/quarterly investment and fund performance data
• reviewing and/or preparing of capital calls, distributions and bank reconciliations
• preparing management, annual and incentive fee calculations
• preparing various client correspondences
• calculating waterfalls and capital account allocations
• ensuring compliance with legal documents
• maintaining working relationship with all client contacts, auditors, tax, lawyers and banking personnel
• be part of special projects as requested

Senior Associate, Real Assets, Fund Accounting & Administration

• Own end-to-end delivery of all fund accounting services for the client, with full accountability for accurate, timely, complete, and controlled delivery of all agreed deliverables.
• Drive a service excellence culture across Fund Accounting and all supporting global operations teams, ensuring daily execution meets client expectations and agreed service standards.
• Take primary accountability for client outcomes, including service quality, client satisfaction, issue ownership, and timely resolution of escalations.
• Establish clear delivery standards, performance routines, and governance across teams, aligned with the global operating model and enabled by corporate technology wherever possible.
• Act as the senior escalation point for material service issues, high-severity incidents, client complaints, regulatory matters, and remediation activities impacting the client.
• Lead prioritisation and delivery of client change activity, including transitions, fund launches, operating model enhancements, and process improvement initiatives.
• Lead senior client engagement, including governance meetings, service reviews, escalation discussions, and executive updates, with clear ownership of follow-through and outcomes.
• Provide timely, relevant, and action-oriented reporting to corporate and regional governance committees to support effective oversight, challenge, and decision-making.
• Manage budgets and resourcing in line with client commitments and corporate objectives.
• Ensure optimal technical set up of fund accounting services and elections across funds.
• Ensure every team member has clear reporting lines, defined authority levels, documented responsibilities, measurable objectives, and the training required to execute with confidence and accountability.

Fund Accounting, Managing Director

Vice President

• Partner directly with COE stakeholders to gather requirements, but more importantly, to understand the underlying business problem — you will regularly be the person in the room asking "what are you actually trying to solve for" before a design is proposed.
• Own solution design: business process configuration, calculated fields, condition rules, custom reports, and where relevant, integration touchpoints with downstream/upstream systems.
• Configure the solution in Workday — this is a build role, not a hand-off-to-someone-else role.
• Partner closely with our dedicated Security team on the security design for your solutions, and with our Data Management team on worker data loads and EIBs — production security changes and data migrations are executed by those teams as part of our operating model.
• Evaluate trade-offs between out-of-the-box Workday functionality, configuration workarounds, and process/policy changes, and make a clear recommendation to stakeholders.
• Assess cross-module and cross-COE implications of any change — e.g., how a compensation configuration change affects Advanced Comp eligibility rules, or how a Talent process change affects downstream Performance cycles.
• Support release management: evaluate Workday's biannual releases for impact to existing configuration, and recommend adoption or deferral of new features.
• Provide architectural input on new HR technology initiatives, including build vs. buy decisions and Workday's ability (or inability) to meet a given business need.
• Maintain configuration documentation and design decisions in a way that is auditable and transferable — not just tribal knowledge.
• Mentor less-experienced team members on configuration best practices where applicable.

Senior Solution Consultant, Workday HCM

Solutions Engineer

• Translate platform architecture and product requirements into executable delivery plans across internal and partner teams
• Lead coordinated delivery of end-to-end solutions spanning: Front-end applications, Backend services and APIs, Data platforms and AI/ML components
• Ensure consistent, high-quality execution aligned to architectural standards
• Drive seamless integration across application, data, AI, and partner ecosystems
• Identify and resolve cross-team dependencies, integration risks, and technical gaps
• Maintain alignment with requirements and architecture while ensuring practical execution
• Lead and develop multidisciplinary engineering teams across, Applied AI / ML, Data engineering, Application development
• Provide day-to-day direction, prioritization, and coaching
• Ensure solutions meet enterprise standards for Scalability and performance, Security and resilience, Regulatory and compliance requirements, and Operational supportability
• Define and manage delivery processes, including Sprint planning and execution cadence, Cross-team coordination mechanism

Technical Solutions Lead

• Maintaining the general ledger for various fund entities
• Preparing supporting work papers for financial statements, portfolio schedules and capital account allocations
• Preparing financial statements and footnote disclosures
• Analytical review of monthly/quarterly investment and fund performance data
• Reviewing and/or preparing of capital calls, distributions and bank reconciliations
• Preparing management, annual and incentive fee calculations
• Preparing various client correspondences
• Calculating waterfalls and capital account allocations
• Special projects as requested

Senior Associate, Private Equity, Fund Accounting & Administration

Engineering Manager

• Design, build, and optimize scalable applications and data pipelines using Python, PySpark, and SQL on Databricks (AWS)
• Partner with business stakeholders to understand financial data, analytics requirements, and downstream usage across research, portfolio management, risk, and reporting
• Implement solutions that support financial analytics use cases, including (but not limited to) performance measurement, attribution, returns analysis, and benchmark comparisons
• Participate in requirements analysis, solution design, and technical implementation following an Agile SDLC
• Develop robust, maintainable data workflows with strong emphasis on data quality, transparency, and operational reliability
• Optimize Spark and SQL workloads for scale and performance using appropriate partitioning, query design, and Databricks best practices
• Own the investigation and resolution of complex production issues, including root‑cause analysis and long-term remediation
• Collaborate with application, data architecture, and infrastructure teams to deliver end‑to‑end solutions
• Contribute to technical standards, best practices, documentation, and design reviews
• Remain current with emerging technologies and recommend improvements to tools, frameworks, and development practices

Software Engineering Lead – Investment Analytics, VP

Platform Engineer

• Develop software solutions for complex application and cloud infrastructure management and eliminate ClickOps
• Build a robust modern platform with a fusion of purpose-made code and industry-standard tools, increasing team effectiveness and eliminating unnecessary toil
• Develop software tools for deployment, monitoring, alerting and operations automation
• Automate and codify all the infrastructure provider interactions by using Infrastructure as Code to create immutable reproducible deployments and establish best practices to scale it in a maintainable way
• Maintain live services by measuring and monitoring availability, latency, and overall system performance
• Implement and manage Security event routing & SIEM platforms in a hybrid multi-cloud environment using CI/CD processes by developing CloudFormation and Terraform templates
• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Design and build petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
• Work alongside the global cybersecurity architecture & engineering leadership to develop and deliver capabilities to support Cyber Data Science initiatives both internally and in partnership with detection and response teams, and governance and risk management teams across our CISO organization
• Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment.

Analyst

• Performing, analyzing and monitoring the quality of a wide spectrum of depositary control functions, namely cash-flow monitoring, safekeeping of assets and general oversight functions in accordance with AIFMD and UCITS and any local regulations and restrictions.

Senior Depositary Analyst – Associate 2

DevOps Engineer

• Design, implement, and maintain CI/CD pipelines using Harness and enterprise deployment platforms
• Build and manage Infrastructure as Code (IaC) solutions using Terraform Enterprise (TFE) and AWS Federated Cloud services
• Automate application deployment, infrastructure provisioning, configuration management, and operational tasks
• Support cloud-native application hosting on AWS, including ECS, RDS, Kafka, Route53, Secrets Manager, IAM, CloudWatch, and related services
• Implement and maintain platform observability solutions including CloudWatch, Splunk, monitoring dashboards, alerting, and operational metrics
• Troubleshoot production incidents, perform root cause analysis, and drive preventive improvements
• Collaborate with QA teams to integrate automated testing into CI/CD pipelines and support shift-left quality initiatives
• Manage environment provisioning, deployment automation, release orchestration, and disaster recovery activities
• Partner with security teams to ensure compliance with enterprise standards, vulnerability remediation, and audit requirements
• Support application onboarding, cloud migration, and modernization initiatives

Senior DevOps Engineer

Sales

• Manage a portfolio of institutional client FX relationships with a focus on the alternatives segment.
• Prospect new clients and grow the existing franchise by leveraging State Street’s trading, research, and technology tools.
• Achieve goals regarding client acquisition, volume of business, and cross sell.
• Collaborate with SSM trading and strategy to deliver quantitative indicators and macro thought leadership.
• Assume responsibility for new business initiatives including working with internal teams on corporate wide initiatives.
• Pursue risk excellence including adhering to procedures, regulations and credit limits.
• Leverage e-FX technology and data to drive effective business growth and trading volumes.

FX Sales, Vice President

Client Services Representative

• responsible for day to day management and successful long-term relationships of assigned accounts
• ensures superior client satisfaction by acting as an advocate for clients
• works closely with internal teams and clients
• manages conversion/start-up of new client relationships

Assistant Vice President – Global Issue Assurance, Technology Risk

Lead AI Security Automation Engineer

Senior AI Security Automation Engineer

Senior Associate, Real Assets, Fund Accounting & Administration

Fund Accounting, Managing Director

Senior Solution Consultant, Workday HCM

Technical Solutions Lead

Senior Associate, Private Equity, Fund Accounting & Administration

Senior Associate, Private Equity, Fund Accounting & Administration

Software Engineering Lead – Investment Analytics, VP

Platform Engineer

Senior Depositary Analyst – Associate 2

Senior DevOps Engineer

FX Sales, Vice President

Operations Client Service – Assistant Vice President