Are you a math-oriented software engineer? Read on.

LIQUiDITY is a high-growth fintech company. Our platform is based on the most advanced artificial intelligence (AI) and machine learning technologies, already making a massive impact on global capital markets. We’re literally reinventing the future of growth funding for companies worldwide by changing how business analysis is done. We’re currently based in Tel Aviv, NYC, Singapore, London, Abu Dhabi, and Dnipro.

We’re seeking an experienced Machine Learning Engineer / Software Engineer (ML oriented), who will be integral to the data science feature development process, working in tandem with data engineering. You will design machine learning pipelines, apply algorithms to generate predictions and tackle data set challenges, and develop the first-ever, real-time corporate credit score platform. This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment.

You will:

• Build forecasting/prediction models from scratch (POC) to production-ready
• Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
• Take a critical role in the research process for finding the best market solutions for defined business problems
• Provide guidance to the R&D team and product teams

You have:

• 2+ years of experience as a Senior Software Engineer (ML), Machine Learning Engineer, Data Engineer, or in a similar role
• 4+ years of hands-on experience in engineering with Python
• Minimum 3-4 years of relevant experience: SQL complex queries (aggregations, analysis, etc.), as a strong cloud architect
• Degree in Computer Science, Physics, Mathematics, or equivalent experience
• Profound analytical skills and true love for data
• Extensive background in statistical analysis

Life at LIQUiDITY

• We’re global, in six locations and counting!
• We’re direct and friendly – we go by an open door policy
• We have set a high bar for our work
• We work in an adaptable, dynamic, and fast pace environment
• We're growing - and we want you to grow with us
• We missed you! We believe in the added value of working in person as we build out our global team