Senior Data Analyst

About ArborKnot:

ArborKnot is a dynamic alternative credit quant fund with more than $300 mn AUM 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.

JOB SUMMARY / OBJECTIVE

We are seeking an experienced and innovative Senior Data Analyst to join our expanding Data team based in Tel Aviv. As a Data Analyst at ArborKnot you will play a crucial role in driving performance analysis and leveraging creative, data-driven insights to inform strategic decision-making. You will collaborate closely with cross-functional teams to analyze financial data, identify trends, and uncover actionable insights that drive business growth and optimize performance strategies.

RESPONSIBILITIES

• Develop quantitative analysis, tools, dashboards, and models to support well-informed and data-driven decision making of our platform
• Perform exploratory data analysis to support business and research hypothesis
• Improve data process and identify data gaps
• Query data warehouse to collect data and build/maintain reports with visualization tools
• Present recommendations to relevant stakeholders and executives

QUALIFICATIONS / EXPERIENCE REQUIRED:

• 3+ years proven experience as a data analyst, analyzing trends, performing root cause analysis and driving business decision with data driven strategies
• Curious & critical thinking mindset are key to success in this role
• 2+ year experience in Python, especially data related libraries
• 3+ years experience in SQL and spreadsheet modeling skills with experience in manipulating and interrogating data
• 3+ years experience in Tableau, including measurement and experimentation
• Fluent English language skills (written & spoken)
• Finance or Fintech experience is an advantage; CFA certification - significant advantage
• Strong team player with excellent communication and collaboration skills
• Self-learner, self-sufficient proactive problem-solver, able to work independently
• Academic degree in a quantitative field – Computer Science, Mathematics, Statistics, Engineering or related field – or equivalent experience

If you are a highly motivated and analytical individual with a passion for data storytelling and finance, we would love to hear from you.

Join us to shape the future and develop new markets!