Data Scientist - Schroders

DATA SCIENTIST

Who we are looking for

A Data Scientist to join the Schroders Capital Private Assets Data Insights team.

Schroders is a leading provider of active asset management, advisory and wealth management services and is widely recognised as a leader in sustainability. Few investment managers can match the combination of capabilities and global reach that Schroders offers. This breadth of services across public and private markets allows for distinctive solutions for the diverse needs of clients, who look to Schroders to provide superior long-term investment outcomes.

Schroders Capital is the private markets business of Schroders with $111bn of AUM. We work as a global network of specialised, entrepreneurial teams. We combine a global perspective with local market expertise to serve institutional and private wealth clients. Our offering spans the private markets universe and provides access to unique capabilities across private debt and credit alternatives, real estate equity, private equity, and infrastructure equity.

The firm has deep expertise in creating bespoke solutions for clients and is committed to providing scalable capabilities across the spectrum of risk, return and sustainability and impact objectives.

Supported by the resources, experience, and institutional framework of one of the world\'s leading asset managers, Schroders Capital is dedicated to helping investors achieve their goals and is at the forefront of product innovation to meet the evolving needs of investors.

We moved into our new HQ in the City of London in 2018. We are close to our clients, in the heart of the UK\'s financial centre. And we have everything we need to work flexibly.

The Private Assets Data Insights (PADI) team is an innovation team embedded within investment management across Schroders Capital. Established in 2014, the team employs data science, AI and advanced analytics to develop proprietary applications, applied research, and decision-support tools to optimise investment decision-making and streamline investment processes. The team supports the four verticals within our private markets business - real estate, private equity, infrastructure and private debt. We have an opening for an additional team member to work across all verticals with a particular focus on real estate, working closely with investment teams to identify, shape and execute on high value initiatives to push the boundaries of data driven investing.

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• Work closely with real estate investment teams to optimise decision-making and improve investment processes through geospatial data science, advanced analytics, and AI, with scope to extend approaches to infrastructure and private credit where business value dictates.
  
• Identify, scope, and independently lead data science projects that generate measurable value for real estate, as well as other verticals as required.
  
• Manage your own stakeholders effectively, ensuring alignment of analyses and insights with investment priorities.
  
• Develop and deliver clear, impactful presentations of your analyses and findings to internal stakeholders and external clients.
  
• Apply data science techniques to portfolio optimisation and cash flow modelling, supporting investment strategies.
  
• Collaborate with data engineering and IT teams to build and maintain robust data pipelines and tools.
  
• Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives.
  

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• A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 4+ years of experience in a relevant role.
  
• Demonstrable interest and experience in geospatial data science.
  
• Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement.
  
• Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients.
  
• Knowledge of econometrics and other forecasting methodologies is a plus.
  
• Proficient in Python; good working knowledge of R and SQL.
  
• Comfortable working in a Linux environment.
  
• Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices.
  
• A drive to address complex technical and theoretical challenges.
  
• Experience with a cloud computing platform; AWS is a plus.
  

Our purpose is to provide excellent investment performance to clients through active management. of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why and are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your , , , beliefs, , socio-economic background, or any other protected characteristic.

We\'re a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future.

We have around 6,000 people on six continents. And we\'ve been around for over 200 years, but keep adapting as society and technology changes. What doesn\'t change is our commitment to helping our clients, and society, prosper.