Java/Python Developer - Marquee Analytics Java/Python Developer - Marquee Analytics …

Goldman Sachs
in Warsaw, Mazowieckie, Poland
Permanent, Full time
Be the first to apply
Competitive
Goldman Sachs
in Warsaw, Mazowieckie, Poland
Permanent, Full time
Be the first to apply
Competitive
Java/Python Developer - Marquee Analytics
MORE ABOUT THIS JOB
ENGINEERING

What We Do
The Marquee Analytics Team is responsible for building PlotTool Pro, including a Python SDK module (within gs_quant) for programmatic access to time series analysis tools and all the backing Java/Python services. It features a very modern technological stack: microservices architecture with the majority of components written in Java 11, a mix of SQL and noSQL databases, and open-source messaging middleware. In this role you will not only be solving challenging technical problems, but also get exposure to the business, e.g. backtesting of trading strategies.

Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

RESPONSIBILITIES AND QUALIFICATIONS
RESPONSIBILITIES AND QUALIFICATIONS
Why Join Us?
As part of the firm's flagship Marquee initiative, it is a highly visible and prestigious project to be involved in. In this role, you will be applying modern, cutting edge technologies to solve complex problems in the front office trading teams. Collaborating with a dynamic global team who are aligned closely with the business, you will be expected to bring your own ideas to the table and input into product architecture and engineering decisions. You will be writing high quality code that is robust, readable and scales for time series applications.

Technologies used:
  • Java, Python
  • MongoDB, ElasticSearch
  • Kafka, RabbitMQ
This role presents a growth opportunity for a talented and motivated individual, with an opportunity to lead and grow the local team that collaborates efficiently with a fast moving global effort.

Required Qualifications:
  • Bachelor's Degree or higher in a Computer Science or related quantitative discipline with 2+ years of work experience
  • Hands-on experience in Java or Python - we accept candidates from either background but it's primarily a Java role
  • Experience designing scalable, reliable systems with high quality APIs
  • Interest in gaining exposure in the Front-Office trading environment
Nice to have:
  • Experience with huge time series datasets
  • Experience in Elasticsearch, Logstash, Kibana, Prometheus, Grafana
  • Proficiency in Linux, Bash, JSON and SQL
  • Experience with cloud computing


ABOUT GOLDMAN SACHS
ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https:// www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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