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For Companies At a Glance
- Tasks: Join our team to optimise investment processes using data science and AI.
- Company: Schroders, a leading global investment manager with a focus on sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture that values diversity and encourages fresh ideas.
- Why this job: Make a real impact in the world of finance through innovative data-driven solutions.
- Qualifications: Degree in a technical field and 4+ years of relevant experience required.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Job Description
DATA SCIENTIST
Who we are looking for
A Data Scientist to join the Schroders Capital Private Assets Data Insights team.
Business Overview
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
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.
The base
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 team
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.
What you will do:
- 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.
The knowledge, experience and qualifications you need:
- 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.
We recognise potential, whoever you are
Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic.
About Us
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.
Data Scientist - Schroders employer: Schroders
Contact Detail:
Schroders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Schroders
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving data science and geospatial analysis. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your thought process and how you approach problem-solving. Remember, they want to see how you think!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Data Scientist role. It shows you're genuinely interested in joining us at Schroders and helps streamline your application.
We think you need these skills to ace Data Scientist - Schroders
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Schroders. Highlight your experience in data science, especially with geospatial data, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Schroders. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Technical Skills: Since this role requires proficiency in Python, R, and SQL, make sure to highlight these skills prominently in your application. If you've worked with cloud platforms like AWS or have experience in Agile methodologies, don’t forget to mention that too!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Schroders
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in geospatial data science. Be ready to discuss specific projects you've worked on and how you applied techniques like Python, R, or SQL to solve real-world problems.
✨Understand the Business
Familiarise yourself with Schroders and their approach to private markets. Knowing how they integrate data science into investment decision-making will help you align your answers with their business objectives during the interview.
✨Prepare for Stakeholder Management Questions
Since you'll be managing stakeholders, think of examples where you've successfully communicated complex analyses to non-technical audiences. Highlight your ability to ensure alignment between data insights and investment priorities.
✨Show Your Passion for Innovation
Schroders values innovation, so be prepared to discuss how you've stayed current with industry trends and emerging technologies. Share any experiences where you've implemented new tools or methodologies that improved processes or outcomes.