About the position:
We are looking for a passionate R/Python Data Scientist to join a growing team of researchers developing our flagship 1in1000 climate stress test model suite.
The 1in1000 is a research initiative created by Theia Finance Labs and the University of Oxford Sustainable Finance Group. We perform high-impact academic research, develop analytical software and provide technical assistance for central banks, financial supervisors and financial institutions to support the resilience of the financial system to climate and nature related risks
Description:
The goal of the 1in1000 team is to integrate the management of long-term risks, especially those related to climate change, into financial risk and supervisory practices. We aim to develop a free, open-source and transparent climate stress testing methodology, designed to enable all financial institutions to gain access to a high-quality climate financial risk analysis. Building on Theia Finance Labs (formerly 2° Investing Initiative Germany) focus on financial markets, and the success of the toolset for alignment measurements (PACTA, 1in1000, MyFairMoney), the research has the following two objectives:
- Develop a world-class climate-financial stress testing methodology;
- Build quantitative analytical tools;
- Provide advisory and capacity building exercises with leading central banks, supervisors and financial institutions;
- Help financial institutions shift investment towards a sustainable future;
- Create a positive impact in the fight against climate change and climate-related financial risks.
We strive to build an interdisciplinary team of analysts, researchers and coders who will work together to analyse data sources, model climate risks scenarios, code robust software and usable interfaces as well as actively collaborate with external partners both from leading financial institutions and academia. The candidate should have a collaborative approach to work and a track record of project management and problem solving while working with high attention to detail.
Responsibilities:
Your main assignment will be to contribute to the development of climate stress test software and tools as well as:
- Contribute to the theoretical design of our climate stress test model methodology
- Develop appealing and user friendly online apps and tools which will be used by institutional investors and partners in the supervisory community
- Develop appealing and user friendly online apps and tools which will be used by institutional investors and partners in the supervisory community to interact with our models
- Improve and maintain climate scenario, financial and forward-looking production input data processing infrastructure
- Research third-party stress-test scenarios and implementing these in our stress test software and online modules currently under development
- Represent 1in1000 in external climate stress test specific conversations
- Collaborate with the broader 1in1000 research team of software developers working in the area of climate alignment models and climate impact modelling
Desired qualifications:
- An inquisitive, well-structured and scientific approach to problem-solving
- Hands on experience in R or Python, SQL is a plus
- Understanding of basic statistical concepts (descriptive statistics, null hypothesis, linear models)
- Interest in coding of dashboards or apps in RShiny or Streamlit
- Knowledge of climate financial risk, sustainable finance, climate science, complex systems is a plus
- Ability to self-organise and successfully juggle multiple projects
- Excellent written and verbal skills in English
- Flexible, solution-oriented and pragmatic mindset
- Willingness to apply even if you do not tick all the boxes!
We offer:
- A dynamic team of developers, data scientists, climate scientists, economists and sustainable finance specialists; all passionate about effectively fighting climate change
- A mission which brings together technology and impact
- A supportive environment for growth and collaboration with people from various backgrounds.
- Flexible working hours: time is precious and we respect it. Our hybrid working model makes it possible to combine personal life with work life.
- Remote work and centrally located office space in Berlin
- Competitive salary subject to experience
- Opportunity to contribute to cutting-edge research with our extended network of world-class researchers
About Theia Finance Labs:
Theia Finance Labs (Theia) acts as an incubator for and investor in public, mission driven programmes at the intersection of finance and climate risks. TFL provides governance, as well as strategic and operational support designed to help initiatives, such as 1in1000, projects and brands scale and achieve long-term impact. Theia is 100% non-commercial and mission-driven
Our free online and open-source tools available on www.transitionmonitor.com and on https://github.com/2DegreesInvesting/r2dii.climate.stress.test
Application process
Interested in changing finance to tackle climate change? Contact us!
The application deadline is on the 30th of January but we are recruiting on a rolling basis. Please send your application (CV without picture), information on your earliest possible start date and expected salary range to: 1in1000@theiafinance.org
Short motivational letter is welcome. If you have code samples you’d like to share as your portfolio, you’re welcome to add them to your application.
Theia is committed to equal employment opportunities and will take positive action to continually ensure equal opportunity to our employees and to our applicants in the conduct of all business activities. We provide equal opportunities to all individuals regardless of religion, ethnic or national origin, gender, age, disability, sexual orientation, gender identity, or marital status.