SEEKING WORK - New York / Remote
Location: New York
Remote: Yes
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).
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).
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).
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).
Technologies: PHP, MySQL, AWS, Kubernetes, Redis, HTML, JavaScript, Go
Email: legoheadhn@gmail.com
I specialize in backend systems programming and architecture, but am open to most anything - CRM, REST, Microservices, or if you just want a maintenance/bug-hunter programmer. I am looking for part-time remote work, and will be available for communication throughout the day, but intend to work mostly evenings/weekends.
Experience in the following domains: Quantitative Finance, Insurance Technology, Recycling & Waste Management Technology.
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).
Experience in the following domains: Quantitative Finance, Insurance Technology, Recycling & Waste Management Technology.
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).
Experience in the following domains: Quantitative Finance, Insurance Technology, Recycling & Waste Management Technology
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).
Experience in the following domains: Quantitative Finance, Insurance Technology, Recycling & Waste Management Technology
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).
You mentioned these firms are typically smaller in headcount, use private capital, and generate similar returns. Any insight on how they're targeting asset capacity for their meta-strategy approach? The medallion fund, until recently was capped around 3-4 billion [1]. I wonder, if the quality and quantity of data itself, and the models built on that data, are subordinate to the data processing IP as you say, can this type of trading be done at smaller scale, either as an individual or handful of people? I've been out of the industry for a bit, but infrastructure and data costs were the main (financial) hurdles for startups, particularly in the high frequency space.
Are there any firms outside of finance using an analogous approach to data processing and signal construction?
I enjoy solving business problems with software. I enjoy 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.
Remote: Yes
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.
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)
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).