Author: Marian Clauson
New comment by JosephI in "Ask HN: Who is hiring? (September 2019)"
The Seattle Institute for Biomedical and Clinical Research (SIBCR) in Seattle, WA has an opening for a research/software engineer in the field of image processing and analysis. This is an onsite full time position. Responsibilities: 1) Developing/designing new algorithms for visualizing 3D data and assisting with data analysis and reporting. 2) Assisting in redeveloping/optimizing existing … Continue reading New comment by JosephI in "Ask HN: Who is hiring? (September 2019)"
New comment by autokatalyst in "Ask HN: Who wants to be hired? (August 2019)"
Location: New York
Remote: Yes
Willing to relocate: No
Technologies: python, flask, django MySQL, sqlalchemy, pandas, scikit-learn, html/css/js, jquery, bootstrap, jupyter, R, pytorch
Email: contact[at]autokatalyst.com
Available for the following:
* Full-Stack Web Development
* Data Science/Business Analytics
* Business Process Automation
* Quantitative Risk Management (Hedge Funds/HFT/Systematic Trading)
- extensive experience developing regulatory/operational/trading risk management tools in quantitative finance.
Experienced full-stack developer with a machine learning focus. Building data-driven applications that deliver material business results is my specialty. I’ve been fortunate enough to work in a variety of industries from Quantitative Finance to Insurance Technology (InsurTech) and Recycling & Waste Management Technology (WasteTech). I’m pragmatic, professional, and put a strong emphasis on communicating clearly and developing projects towards mutually accepted first priniciples. Happy to chat about your specific domain and what might be achievable.
I enjoy solving business problems with software and diving into various domains and building solutions that have a material impact on the bottom line. One of my best performing projects (continues to save millions annually) required 70% digging into a problem domain and 30% coding. Another recent project I’m proud of is an ML-powered pricing engine that’s given a $250+M funded competitor’s service in the space a run for it’s money. I’ve produced results working both as a member of a technical team and independently (working directly with key stakeholders/executives).