Backend developer for a team working on development of a quantitative engine for analyzing financial data. In particular, the engine includes valuation of many asset classes and derivatives types, portfolio level value distribution and statistics, backtesting, and more.

The jobs will include processing of financial data, expansion of current engine capabilities (e.g. adding support for additional asset classes or derivative types), and implementation of new algorithms related to performance and risk measurement and analysis.

Requirements

Must have:

At least 5 years experience as a developer.

At least 3 years experience with scientific/data related development.

At least 1 year experience with python’s scientific stack, e.g. NumPy, Pandas, etc.

Undergraduate level knowledge of linear algebra, probability, and statistics. I.e. comfortable working with matrices, knowledge of common probability distributions, and understanding of statistical estimation.

Advantages:

Familiarity with quantitative finance modeling, e.g. Black-Scholes.

Experience with AWS.

Experience with distributed computing/big data (Dask, Spark, etc.).

Familiarity with AI/ML related modeling and tooling (PyTorch, TensorFlow, etc.).

Experience working in agile environments.

Experience with TDD.

Open-source contributions – strong bonus.

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דרישות: – לפחות שנתיים ניסיון בפיתוח ב-Python.

– לפחות שנתיים ניסיון בעבודה עם הכלים: Docker ,Micro services ו- Kubernetes.

– ניסיון בעבודה עם סביבת לינוקס. – היכרות עם הספריות NumPy/Pandas/PyTorch/SciKit.

– ניסיון בעבודה מול ענן – יתרון.

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Key Responsibilities
 Build the core of a product that will change the Serverless eco-system (hence the
software world 🙂 ).
 Develop ultra efficient low level solutions for serverless performance and security.
 Use and develop multiple technologies; form low-level kernel development, through
ultra-high fast orchestration infrastructure to innovative application level tools.
Required Skills & Experience
 At least 5 years of R&D experience – Must.
 Experience with Python, C – Must.
 Experience in system-level programming – Must.
 Firm knowledge of Linux operating system concepts – Must.
 Experience with Go, JavaScript – Advantage.
 Experience with Docker, Kubernetes – Advantage.
 Fun person 
 Experience with AWS – Advantage.
 Elite technological unit alumni – Advantage.
 Cyber-Security background – Big Advantag

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About the company: We are using deep learning and computer vision, and building seed sorting platforms in order to

revolutionize the seed/plant breeding industry, which is in a never-ending pursuit of developing new superior

varieties, and the seed production industry which is obligated to perform destructive QA tests to seeds.

Responsibilities:

Design and develop our cloud server that handles billions of seed images.

Design and develop our data pipeline (data processing) at scale.

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