Machine Learning Engineer - Equity Selection (m/f/d)
Othoz GmbH
Berlin, DE
vor 4 Tg.

Your mission

In this role, you will be part of our equity selection squad, which develops holistic equity selection models to predict the cross-section of stock returns in the financial markets.

The equity selection squad is characterized by a high-performance culture where collaboration, transparency, and meritocracy are paramount.

As part of the squad, you are developing and testing your ideas with real world data, leveraging our cutting-edge backtesting and performance analytics capabilities.

This is supported by large amounts of (clean) data and enormous computing power at your fingertips. While we start with the standard ML toolkit to get a model running, we strive to understand what's going on under the surface, because an off-the-shelf solution doesn't lend itself to our use cases.

Joining the squad, you will contribute to the development and continuous improvement of our data-driven systematic investment strategies.

This includes conducting experiments and evaluations of our hypothesis-driven research agenda, identifying, confirming, and amplifying predictive signals in our data while filtering out irrelevant information.

To this end, you will work closely with our experienced quant finance and machine learning experts.

Your Skillset

  • Degree in a quantitative field such as mathematics, physics, computer science, statistics.
  • Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas, and Jupyter notebooks are desirable.
  • Excellent reasoning and mathematical skills are critical : off-the-shelf methods don't always work for our use cases.
  • Knowledge of machine learning, applied statistics, and quantitative modelling : regression, classification.
  • Proactive and independent work style with a can-do attitude and the ability to learn quickly.
  • Strong interpersonal skills and a genuine passion for working in a team environment.
  • Ability to communicate complex analytical concepts clearly and concisely.
  • Experience with machine learning in finance and working with large, noisy, and rapidly changing real-world data sets is a plus.
  • Why us?

  • An exciting and involving role with significant impact on shaping the future of AI-based sustainable investing
  • A company culture that is based on a spirit of cooperation and is characterized by a high level of quality awareness, openness and attention to detail in all areas of our work
  • Flexible working hours, 28 days paid leave and a competitive salary and equity package
  • A modern loft office in Berlin, Prenzlauer Berg, healthy food (including coffee, juices, fruit, vegetables, sandwiches) and high-end hardware from Apple
  • Internal workshops, unique learning possibilities across a wide range of domains as well as amazing team events
  • We are a deep tech pioneer, providing AI-based investment solutions to our clients. Building on the best practices of quantitative asset management we tap the potential of machine learning for sustainable investments on capital market.

    Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics, and neuroscience.

    Othoz is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe.

    To date Othoz is one of the leading drivers for AI-based analyses and decision-making processes in asset management. Othoz has been founded in 2017, is headquartered in Berlin, Germany and is backed by leading international business angels and VCs.

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