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Senior Data Scientist

About ArborKnot:

ArborKnot is a dynamic alternative credit quant fund with $300 mn AUM (as at end Jan 2024) and active transactional activity in both Europe and Australia. Our mission is to disrupt traditional market practices through the delivery of market access by providing recurring and reliable liquidity across the consumer distressed debt market while creating a more competitive and dynamic marketplace for both our clients and consumers. As a relatively new market entrant, we offer an environment where lateral thinking and innovation thrive, and where individuals have the chance to make a significant impact from the outset.

The group retains offices in Berlin, New York & Sydney and an innovation lab in Tel-Aviv, Israel.

This is a unique opportunity to be part of a fast-growing business with an engaging multicultural team of professionals driving positive industry and social change.


We are seeking an experienced and innovative senior Data Scientist to join our expanding Data team based in Tel Aviv. As a Data Scientist at ArborKnot you will play a crucial role in developing and implementing cutting-edge quantitative models and strategies to optimize our investment decisioning in the Alternative credit space. Working closely with our team of Originators and Analysts you will be instrumental in leveraging cutting-edge ML and AI techniques to optimize pricing strategies for consumer non-performing loans both unsecured and secured.


  • Lead the development and implementation of quantitative models for analyzing and predicting credit risk and propensity to pay across Alternative credit asset classes of focus.
  • Deploy machine learning and AI models to optimize pricing strategies for global non-performing loans.
  • Implement end-to-end data pipelines, encompassing data retrieval, cleaning, harmonization, and extracting meaningful financial and recovery features.
  • Researching to explore innovative data science methodologies and technologies.
  • Collaborate with cross-functional teams including portfolio managers and investment analysts to gather requirements, design experiments, and analyze data as well as integrate data driven insights into investment strategies.
  • Keep up to date with new developments in the ML and AI fields, and incorporate emerging techniques into our models.
  • Continuously monitor model performance and iterate on improvements to enhance predictive accuracy.
  • Communicate findings and insights to stakeholders and senior management in a clear and concise manner.
  • Eventually, transition into a leadership role, managing and growing the data science function, mentoring and providing guidance to additional junior data scientists in the team.


  • 4-5 years of proven experience in Data science, machine learning and quantitative modeling, preferably in the financial services industry
  • Strong programming skills in Python and SQL is a must!
  • Experience with cloud computing platforms.
  • Good understanding of Generative AI, GPT architectures and Large Language Models (LLMs) development – a plus
  • Demonstrated expertise across the entire data science lifecycle, encompassing data gathering, research, model development, and deployment
  • A demonstrated ability to conduct research, conducting comprehensive literature reviews, and applying concepts and findings from the literature.
  • Creative & innovative mindset – given that we’re pioneering in the field, we may not always have access to vast amounts of data at the outset, so the ability to think innovatively is crucial.
  • Strong team player with excellent communication and collaboration skills with the ability to explain complex concepts to non technical stakeholders
  • Self-learner, self-sufficient proactive problem-solver, able to work independently
  • Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Finance.

If you are a highly motivated and analytical individual with a passion for data science and developing new frontiers across the Alt and Distressed credit space, we would love to hear from you. Join us to shape the future and develop new markets.

To apply online please click the “Apply” button below or email [email protected]

At ArborKnot we value diversity and strive to create an inclusive work environment where employees can bring their whole self to the workplace.

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