About the Role
We are looking for experienced quantitative researchers to complement our growing Munich team.
The ideal candidate will have relevant experience in quantitative finance through his studies, or previous work experience and is highly motivated to work in a dynamic environment that requires self-management of tasks and duties and a high degree of entrepreneurial drive.
The work location is hybrid with on-site options and the ability to work remotely as needed.
Currently, we can only accept applications from the EU economic area and candidates must possess all required documentation and permits to work within the EU.
Applicants undergo five rounds of interviews with the founding team to assess problem-solving skills, technical expertise, motivation for the role, and allow for all open questions to be answered.
Please submit your application via e-mail, containing your CV, Letter of Motivation, relevant transcripts and employer references.
Requirements
We are looking for the below characteristics in applicants seeking to work as quantitative researchers:
Master's Degree or PhD in a quantitative discipline (Math, Statistics, Financial Engineering etc.) from a leading University
Strong knowledge in economic theory, investment research, portfolio theory etc.
Proficient in Python or R (additional languages is a plus)
Proficient in ML workflow and familiar with key quantitative libraries/packages and technologies
Ability to backtest and deploy ML trading strategies in live markets
Experience in building trading system components
Creative outside the box thinking to solve complex problems
Great communicator and team player
Fluent in English (written and spoken), German is a plus but not required
About the Company
Deep Alpha Research is a quantitative investment research firm focusing on alpha factor research, trade strategy creation and portfolio optimization for both retail and institutional clients.
Our team shares a passion for investing, with the right mix of curiosity and creativity to solve some of the most complex challenges in finance.
We are a young, dynamic company that aims to challenge the status-quo of the industry and combines deep-rooted expertise in technology, machine learning, data acquisition and curation with trading.