David Golob

Quantitative Analyst at Goldman Sachs

Warsaw, Mazowieckie, Poland

About

Experience

  • Model Risk Quant - Associate at Goldman Sachs
    Jun 2023 - Present · 3 yrs 2 mos

  • Quantitative Analyst at UBS
    Oct 2022 - May 2023 · 8 mos

    Worked in scenario data pod. Mainly focusing on quant and development related tasks, such as outlier detection and data validation.

  • Data Scientist at Sportradar
    Aug 2021 - Sep 2022 · 1 yr 2 mos

    Working on odds data science projects. Technologies: python, tensorflow, numba, AWS, QuickSight, SQL, Redshift

  • Data Scientist at Petrol d.d.
    Apr 2020 - Jul 2021 · 1 yr 4 mos

    Implemented long term profile prediction model. Deployed in Azure. Implemented solar power prediction model using scikit-learn, numba and mlflow. Deployed on Azure. Worked on load prediction model. Using scikit-learn, xgboost and pandas. Deployed it on Azure cloud. Created web GUI using dash and deploy it on linux server.

  • Data Scientist at Jozef Stefan Institute
    Jun 2019 - Apr 2020 · 11 mos

    Worked on defect detection system on industrial products using AI. Implemented computer vision and vibrations approach. Used CNN object detection and image segmentation using Tensorflow. Vibrations approach was based on panel data and scikit-learn and xgboost packages. Also developed a chat bot using NLP.