About DWS
Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. Read more about DWS and who we are here.
Team / division overview
The COO Division is a key enabler for DWS and is integral to the future success of the company by delivering world-class services across a set of key functions. It covers essential Technology and Operations capabilities to deliver a platform which is efficient, scalable, resilient and agile. The role forms part of the Smart Middle Office and acts as its extended technology arm, combining operational understanding with hands-on engineering and automation capability. The successful candidate will rapidly translate operational pain points into practical, scalable solutions using approved AI tools, Python, SQL, workflow automation and other approved technologies. Working closely with Operations the role will prototype, implement and embed controlled solutions that reduce manual effort, improve data quality and strengthen operational processes across both Run the Bank and Change the Bank activities.
Your responsibilities
As our Associate – Smart Automation & AI – Senior Operations Analyst you will:
- Assess operational improvement needs identified by the business and recommend feasible solutions using approved AI, machine learning, workflow automation and data analytics tools.
- Define the solution design with operational SMEs and Technology, including requirements, data inputs, controls, scalability and alignment with business priorities.
- Build and test proofs of concept and lightweight automation solutions using approved AI tools, Python, SQL and workflow technologies; incorporate user feedback and document results and limitations.
- Support controlled implementation through user testing, process and technical documentation, performance monitoring and benefit tracking.
At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
- Bachelor's degree in Computer Science, Engineering, Finance, or a related discipline, or equivalent professional experience
- 5+ years of experience in python development within financial services
- Strong analytical and programming skills using SQL, Python or comparable tools, including experience creating reports, automating analysis and handling large data sets
- Experience designing and implementing workflow automation, AI, or data-driven solutions in an operational environment
- Strong understanding of data management, controls, governance, and risk frameworks within enterprise environments
- Proven ability to perform root-cause analysis, solve complex problems, and translate business requirements into practical solutions
- Experience supporting solution delivery through testing, documentation, monitoring, and continuous improvement
- A product mindset: ownership of a solution beyond the prototype, with focus on user adoption, maintainability and sustainable business value
- A rapid experimentation mindset, with the ability to turn an initial idea into a controlled proof of concept quickly and learn from evidence
- Strong engineering discipline, including reusable design, clear documentation, testing, version control and effective handover into a controlled production environment
- The ability to define meaningful success measures and demonstrate the impact of automation through robust evidence, such as time saved, risk reduced, quality improved or capacity released.
- The judgement to balance speed with security, control and regulatory expectations when experimenting with AI and automation
- A systems perspective, with the ability to look beyond individual tasks and redesign end-to-end processes, data flows and human hand-offs
- A multiplier mindset: sharing reusable solutions, coaching operational colleagues and helping build automation and AI capability across the Smart Middle Office
