BlackRock Data Science Engineer - Investment Strategies in Budapest, Hungary

BlackRock , the world's largest asset manager but also one of the largest financial technology provider (SaaS), was founded in 1988 by eight entrepreneurs who wanted to start a very different company: one that combined the best of financial services with cutting edge technology. One that focused many diverse views on a shared vision.

About BlackRock

A diverse bunch of people who like to analyse, reinvent and enhance how we work… all in the pursuit of a better experience for colleagues and clients.

We have arrived in Hungary with the same goal in mind. Join us and become a founder of our new global technology and innovation hub in the heart of Budapest.


We are looking for people who are:

• Curious: You like to learn new things and have a healthy disrespect for status quo

• Brave: You are willing to get outside your comfort zone

• Passionate: You feel personal ownership for the work you do and an aspiration to be better

• Open: You value and respect input from other

• Experimental: You make mistakes, but learn from them

• Geeky: You want to outsmart the problem.

…And will be excited about:

• Implementing scientific models used to build optimum asset portfolios for our clients allowing them to achieve their financial goals.

• Joining an agile team that creates critical solutions for clients on our own cloud platform (Aladdin)

• Learning and working with and new technologies (Java 8, Python/R, Spark, Hive, HDFS, Angular 1/2) and new paradigms (full stack, distributed computing, NoSQL, big data)

• Working in a challenging, fast paced and flexible environment

• Implementing scientific models used to build optimum asset portfolios for our clients allowing them to achieve their financial goals.

Technical requirements:

• 2 Years of building designing and developing data processing pipelines using Java/python. Distributed computing platform such as HDFS/Spark/Hive is a big plus.

• 4 years of programming experience with Java. Python will be a plus.

• Background and experience in text analytics, NLTP and understanding of unsupervised and supervised machine learnings is big plus.

• Experience building interactive web applications using angular, bootstrap is a plus.

• Passion for clean, maintainable code whichever the technology (e.g. C , Java, JavaScript, Python, C#, …)

General requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics or a related numerical field

• Ability & willingness to learn fast and pick up new things easily

• Analyze and solve programming tasks independently and pro-actively

• Strong critical thinking skills

• Great communication skills in English

The speed of a start-up. The scale of the largest asset manager. The role of a lifetime.

Job Function: Technology

Organization: APG-Investment Systems

Title: Data Science Engineer - Investment Strategies

Primary Location: EMEA-Hungary-Budapest

Requisition ID: 171259

Job Posting: Jun 7, 2017, 3:10:40 AM