Jobs at DWS Group

Twelve-month apprentice role supporting DWS Platform Sustainability and Product Infrastructure & Standards. Responsibilities include analyzing sustainability data and process flows, coordinating system changes, developing a product-launch workflow tool, automating fund-disclosure processes, and supporting sustainability-related product infrastructure. The role requires analytical thinking, ESG knowledge, coding experience, project-management skills, strong communication, and responsible use of AI tools.

Design, develop, and optimize scalable Java and Spring Boot microservices and distributed systems. Lead performance engineering across applications and databases, including JVM, Oracle, and PostgreSQL tuning. Support GCP cloud modernization and Snowflake integrations, promote testing and CI/CD practices, contribute to architecture and observability decisions, and mentor engineers through technical guidance, code reviews, and coaching.

Supports CI/CD pipeline automation, application deployments, DevOps and SRE operations, Windows/Linux infrastructure, cloud platforms, monitoring, and BI platform administration. Automates operational tasks with scripting, manages Git-based configurations, supports releases across development, UAT, and production, troubleshoots platform issues, and improves reliability through containerization, orchestration, standardization, documentation, and audit remediation.

Owns and prioritizes data products for alternative investments and AIF structures, including valuations, cash flows, commitments, performance, investor data, and regulatory reporting. Defines product strategies, roadmaps, data standards, and KPIs; collaborates with business stakeholders, data engineering, platform, governance, and compliance teams to deliver reliable, auditable products. Requires strong knowledge of alternative investments, data management, regulatory reporting, agile delivery, and software development processes.

Leads DevOps engineering across development, release, monitoring, and infrastructure processes. Responsibilities include automating CI/CD, improving reliability and resiliency, managing containerized platforms, implementing deployment strategies, troubleshooting multi-tier applications, evaluating engineering tools, and collaborating with software and technical teams. The role also requires expertise in scripting, Java/Python, APIs, databases, observability, networking, Terraform, software architecture, and Agile practices.

Own risk systems and lead their integration and migration to Deutsche Bank platforms. Responsibilities include defining and prioritizing requirements, governing system operations, coordinating Risk, Technology, Data, and Control stakeholders, overseeing data and process quality, enabling users, managing release readiness, and maintaining regulatory documentation. The role requires strong delivery, change management, stakeholder communication, and experience with risk or governance systems in regulated financial services environments.

Leads AI product management and value realization for CFO functions across Finance, Treasury, Procurement, Risk, Sustainability, and related areas. Translates complex business and regulatory needs into scalable AI products, workflows, and operating models; manages prioritization, governance, risk, stakeholder alignment, delivery, adoption, and measurable business outcomes. Partners with senior executives, technology teams, control functions, and engineering throughout prototyping and scalability.

Develop scalable, accessible, and responsive enterprise web interfaces using React.js, TypeScript, and JavaScript. Build reusable UI components and design systems, integrate REST and GraphQL APIs, optimize performance, and support cross-browser compatibility. Collaborate with UX, product, QA, and business stakeholders; automate testing; troubleshoot production issues; provide L3 support; and contribute to Agile, DevOps, architecture, mentoring, talent development, and responsible AI-enabled productivity.

Leads enterprise-wide automation testing, test strategy, governance, quality gates, and release sign-off across financial services programs. Manages SIT, UAT, end-to-end, regression, and production validation in complex multi-vendor environments. Provides hands-on support for automation, API validation, test design, data verification, defect investigation, and root-cause analysis. Coordinates stakeholders, environments, test data, vendors, and risks while mentoring QA teams and ensuring SDLC, audit, and quality standards.

Leads AI red-team methodology and adversarial testing for AI platforms and applications. Identifies prompt injection, jailbreaks, data exfiltration, RAG manipulation, agent/tool abuse, and AI supply-chain vulnerabilities. Provides risk-rated findings, remediation guidance, retesting, and closure support while tracking emerging AI attack techniques and partnering with engineering teams.

Design and deliver enterprise AI solutions, including generative AI applications, agentic workflows, RAG systems, LLMOps capabilities, predictive models, and full-stack cloud services. Build scalable APIs, microservices, data platforms, and production-grade engineering infrastructure. Partner with product, business, technology, and control teams to translate investment and business challenges into responsible, measurable AI outcomes. Apply financial markets and asset management knowledge to relevant analytics and solutions.

Lead the architecture and delivery of enterprise AI and agentic systems, including LLM applications, RAG solutions, AI platforms, predictive models, and full-stack services. Establish LLMOps, cloud-native engineering, observability, testing, and infrastructure standards. Translate financial and investment challenges into scalable production solutions, guide prototypes through enterprise adoption, mentor engineers, and partner with business, product, technology, and control stakeholders.

Develop and maintain automated testing frameworks and scripts using Python and SQL. Integrate tests with GitHub Actions and Jenkins CI/CD pipelines, analyze results, improve coverage and traceability, and collaborate with development and QA teams. Contribute to Spark-based BDD test frameworks, participate in code reviews, and support data-platform testing across technologies such as BigQuery, Snowflake, Databricks, and dbt.

Supports global asset-management fee and billing operations, including trailer fees, management fees, invoicing, controls, exception management, reconciliations, and audit readiness. Partners with Technology, Finance, custodians, vendors, and global stakeholders to resolve issues and improve operational processes. Identifies and delivers automation, AI, workflow, and analytics use cases that strengthen controls, reduce manual work, improve reporting, and support scalable operational transformation.

Analyze, develop, implement, and produce complex client, regulatory, and ESG reports. Conduct feasibility studies, investigate data issues, handle client inquiries, support projects, and collaborate with front-office and internal teams. Maintain stakeholder relationships, manage time-sensitive reporting activities, and improve operational processes while working with financial, securities, derivatives, risk, and performance data.

Leads enterprise data engineering for asset management, designing pipelines and ETL/ELT solutions for market, trade, position, and reference data. Develops PL/SQL, Python, Shell, and Perl solutions; supports Snowflake, Kafka, scheduling platforms, production systems, data quality, reconciliation, monitoring, and disaster recovery. Partners with investment, risk, compliance, and technology teams while driving modernization, architecture, operational resilience, and regulatory support.

Lead quality assurance strategy and test execution for SimCorp Dimension’s migration from on-premises infrastructure to a vendor-hosted cloud solution. Manage test planning, automation, execution, defect resolution, reporting, resources, stakeholder coordination, risk mitigation, and go-live readiness across system, integration, regression, performance, and UAT phases. Drive effective use of Tricentis Tosca and establish quality governance for large-scale financial-services technology delivery.

Manages Taiwan risk strategy and the local risk management framework across investment, financial, non-financial, sustainability, valuation, and regulatory risks. Ensures policies align with DWS and local requirements, leads cross-functional risk projects, supports product and investment approvals, assesses investment targets and ESG risks, monitors risk indicators, prepares management reporting, and coordinates escalation and remediation with regional stakeholders.

Support onboarding and KYC processes for retail clients: verify client data and documentation, perform AML due diligence and risk assessments, approve new client adoptions and reviews, manage SLAs and exceptions, prepare MIS reports, and support process implementations for regulatory compliance.

Leads the full lifecycle of US infrastructure debt investments, including sourcing, structuring, financial modeling, due diligence, underwriting, execution, portfolio management, fundraising, and investor engagement. The role coordinates sponsors, lenders, advisors, investors, and internal stakeholders; prepares investment committee materials; negotiates financing documentation; evaluates credit risk and returns; and oversees complex transactions across energy, transport, utilities, digital, and social infrastructure sectors.