etflogic

ETFLogic | Senior Quantitative Engineer | New York, NY | REMOTE | https://logicly.finance | Full Time

ETFLogic is a fintech company that provides workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors. We help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets in the US. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is LOGICLY, a web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more.

We are looking for a Senior Quantitative Engineer to join the team and help us grow the next generation of financial tools and navigate the complexities of the financial markets. This role is specifically focused on the quantitative aspects of our product, dealing with portfolios, portfolio backtests, risk profiling and portfolio optimization.

*Requirements*

- Master’s degree in technical field (eg: computer science, engineering, physics) - Strong development skills - Proficiency with optimization methods, including SOCP - Proficiency with portfolio optimization and MPT concepts. - Understanding of tax considerations in the US, handling of tax-lot information and ability to enhance our tax-aware strategies across qualified and non-qualified accounts. - Wealth Management concepts: matching risk profiles to portfolio objectives - Trading Concepts: Ability to enhance and scale our trade rebalancing functionality - Design processes that scale to tens of thousands of accounts.

Our tech stack is comprised of q/kdb+, JavaScript, React, Python and various AWS products. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Visit us on https://logicly.finance

Please send a resume to info at etflogic.io

ETFLogic | Fintech Software Developer | New York, NY | REMOTE | https://logicly.finance | Full Time

ETFLogic is a fintech company that provides workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors. We help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets in the US. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is LOGICLY, a web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more.

We are looking for Software Developers to join the engineering team and help us grow and scale the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is desirable.

You will be working very closely with all members of the engineering team and interface with sales and marketing on a regular basis.

Our tech stack is comprised of q/kdb+, JavaScript, React, Python and various AWS products. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Success in this role is an ability to work with all team members, understand the ins-and-outs of cloud-based services (emphasis on AWS), focus on systematic and repeatable processes to ensure system robustness and scalability, enhance monitoring, etc... The role of software developers at ETFLogic can encompass many domains: financial data analysis and data science, systems architecture, building out robust analytics data pipelines, quantitative engineering to understand portfolio risks, portfolio optimization, etc.. We encourage individuals with skillsets in any of these domains to apply.

Visit us on https://logicly.finance/careers/software-developer/

Please send a resume to info at etflogic.io

ETFLogic | Software Developer | New York, NY | REMOTE | https://logicly.finance | Full Time

ETFLogic is a fintech company that provides workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors. We help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets in the US. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is LOGICLY, a web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more.

We are looking for Software Developers to join the engineering team and help us grow and scale the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is desirable.

You will be working very closely with all members of the engineering team and interface with sales and marketing on a regular basis.

Our tech stack is comprised of q/kdb+, JavaScript, React, Python and various AWS products. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Success in this role is an ability to work with all team members, understand the ins-and-outs of cloud-based services (emphasis on AWS), focus on systematic and repeatable processes to ensure system robustness and scalability, enhance monitoring, etc... The role of software developers at ETFLogic can encompass many domains: financial data analysis and data science, systems architecture, building out robust analytics data pipelines, quantitative engineering to understand portfolio risks, portfolio optimization, etc.. We encourage individuals with skillsets in any of these domains to apply.

Visit us on https://logicly.finance/careers/software-developer/

Please send a resume to info at etflogic.io

Shameless plug: You can sign up for the LOGICLY platform. We have a screener with about 100k funds including all US ETFs and mutual funds.

The answer to your question is "it depends". Mainly on your level of involvement in your portfolio and what your goals are in life. Also is your account qualified or non-qualified (taxable vs non-taxable). So there's no one-size-fits-all.

Personally, I am a "set it and forget it" kind of person. You can buy a low-cost target date mutual fund that takes care of all the portfolio management under the hood. If this is in a taxable account - you may have the benefit of tax free portfolio management (Youll have to check if the fund has paid or could pay out capital gains that would be taxable).

Ultimately on a long timescale I wouldn't get distracted by the side shows (highly focused thematic funds). Bet on broad diversification with low management fees and dividend reinvestment and you'll be golden.

Caveat: I dont want to sound overly prescriptive. Again, theres no one-size-fits-all solution.

https://app.logicly.finance/

ETFLogic | Software Developer | New York, NY | REMOTE | https://logicly.finance | Full Time

ETFLogic is a fintech company that provides workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors. We help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets in the US. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is LOGICLY, a web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more.

We are looking for Software Developers to join the engineering team and help us grow and scale the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is desirable.

You will be working very closely with all members of the engineering team and interface with sales and marketing on a regular basis.

Our tech stack is comprised of q/kdb+, JavaScript, React, Python and various AWS products. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Success in this role is an ability to work with all team members, understand the ins-and-outs of cloud-based services (emphasis on AWS), focus on systematic and repeatable processes to ensure system robustness and scalability, enhance monitoring, etc... The role of software developers at ETFLogic can encompass many domains: financial data analysis and data science, systems architecture, building out robust analytics data pipelines, quantitative engineering to understand portfolio risks, portfolio optimization, etc.. We encourage individuals with skillsets in any of these domains to apply.

Visit us on https://logicly.finance/careers/software-developer/

Please send a resume to info at etflogic.io

ETFLogic | DevOps | New York, NY | REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company providing workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors and we help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is the LOGICLY web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more. Learn more about it at https://logicly.finance

We are looking for a DevOps to join the engineering team and help us grow and scale the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is desirable.

You will be working very closely with all members of the engineering team.

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Success in this DevOps role is an ability to work with all team members, understand the ins-and-outs of cloud-based services (emphasis on AWS), focus on systematic and repeatable processes to ensure system robustness and scalability, enhance monitoring, amongst many other tasks...

This role may not yet be updated on our careers page.

Please send a resume to info at etflogic.io

ETFLogic | DevOps | New York, NY | REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company providing workflow automation to wealth management. Our clients are ETF Issuers, Asset Managers and Financial Advisors and we help them make more informed investment decisions with Exchange Traded Funds. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is the LOGICLY web platform that drives the investment process around ESG, factors, lowering costs, increasing potential returns, tax loss harvesting and more. Learn more about it at https://logicly.finance

We are looking for a DevOps to join the engineering team and help us grow and scale the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is desirable.

You will be working very closely with all members of the engineering team.

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Success in this DevOps role is an ability to work with all team members, understand the ins-and-outs of cloud-based services (emphasis on AWS), focus on systematic and repeatable processes to ensure system robustness and scalability, enhance monitoring, amongst many other tasks...

NB: This role may not yet be updated on our careers page https://www.etflogic.io/careers/

added an email address in the post. we'll update the site too!

We'll fix that! thanks

ETFLogic | Software Engineer | New York, NY | ONSITE or REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporate Issuers and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is the LOGICLY web platform destined to RIAs and financial advisors which provides digital portfolio ideas around factors, lowering costs, increasing potential returns, tax loss harvesting and more. Learn more about it at https://logicly.finance

We are looking for software engineers to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is a must.

You will be working very closely with all members of the engineering team.

Other topics we focus on are ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Other roles we are hiring for (posted outside of HN) include:

  1. Project Management / Business Analyst
  2. Junior Sales Associate

ETFLogic | Software Engineer | New York, NY | ONSITE or REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporate Issuers and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is the LOGICLY web platform destined to RIAs and financial advisors which provides digital portfolio ideas around factors, lowering costs, increasing potential returns, tax loss harvesting and more. Learn more about it at https://logicly.finance

We are looking for a software engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is a must.

You will be working very closely with all members of the engineering team.

Other topics we focus on are ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Other roles we are hiring for (posted outside of HN) include:

  1. Project Management / Business Analyst
  2. Junior Sales Associate

ETFLogic | Software Engineer | New York, NY | ONSITE or REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporate Issuers and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our core product is the LOGICLY web platform destined to RIAs and financial advisors which provides digital portfolio ideas around factors, lowering costs, increasing potential returns, tax loss harvesting and more. Learn more about it at https://logicly.finance

We are looking for a software engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is a must.

You will be working very closely with all members of the engineering team.

Other topics we focus on are ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Other roles we are hiring for (posted outside of HN) include:

  1. Project Management / Business Analyst
  2. Junior Sales Associate

ETFLogic | Software Engineer | New York, NY | ONSITE or REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporates and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We are looking for a software engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is a must.

You will be working very closely with all members of the engineering team.

Other topics we focus on are ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Software Engineer | New York, NY | ONSITE or REMOTE | https://etflogic.io | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporates and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We are looking for a software engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance, trading and ETFs is a must.

You will be working very closely with all members of the engineering team.

Other topics we focus on are ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of kdb, JavaScript, React, Python and AWS. We employ a scalable micro-services framework (Nameko) for rapid data delivery to a global set of users.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Full-Stack Engineer | New York, NY | ONSITE | www.etflogic.com | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporates and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We are looking for a full-stack engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance and trading is a must. Other topics we focus on are: ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of JavaScript, React, Python and AWS. We employ a scalable micro-services framework for rapid data delivery to a global set of users.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Full-Stack Engineer | New York, NY | ONSITE | www.etflogic.com | Full Time

ETFLogic is a technology company that provides data and workflow automation to the ETF ecosystem. Our clients are ETF Issuers, Asset Managers, Financial Advisors and Corporates and we help them make more informed investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We are looking for a full-stack engineer to architect the next generation of financial tools and navigate the complexities of the financial markets. Interest in finance and trading is a must. Other topics we focus on are: ETF pricing, fixed income analytics, flow monitoring, portfolio optimization and MPT, risk modeling, liquidity and impact cost estimates, factor and style analysis, etc...

Our tech stack is comprised of JavaScript, React, Python and AWS. We employ a scalable micro-services framework for rapid data delivery to a global set of users.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Research and Development | New York, NY | ONSITE | www.etflogic.com | Full Time

ETFLogic is a financial technology company providing quantitative tools, data and analytics to the ETF ecosystem. We help our clients: ETF Issuers, Asset Managers, RIAs, FA and Corporates - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

Our goal is to bring order and automation to the complex world of ETFs.

We have a few roles open:

1. Quantitative Researcher: to further development in key areas of our business: intra-day fair-value pricing of ETFs, portfolio construction and optimization, fixed-income pricing, factor and style analysis, liquidity analysis. Prior finance experience in these areas is preferred.

2. Frontend Developer: Focused on building a rich UI/UX in React.

3. Technical Sales: Working with our clients to simplify their workflows with our web platform and analytics.

Our tech stack is comprised of JavaScript, React, Python and AWS

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Research and Development | New York, NY | ONSITE | https://www.etflogic.io | Full Time

ETFLogic is a fintech data analytics and quant tools company. We help our clients - ETF Issuers, Asset Managers, RIAs, FA and Corporates - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions. We are building quantitative tools, analytics and trading signals around ETFs and their underlying assets.

We have two roles open:

1. Quantitative R&D: This role would, in part, further researching and development in key areas: intraday fair-value pricing, portfolio construction, portfolio optimization, fixed-income pricing, factor analysis, liquidity analysis. Prior finance experience in these areas is preferred.

2. Frontend Developer: Focused on building a rich UI/UX in React.

Our tech stack is comprised of JS, React, Python, AWS

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Research and Development | New York, NY | ONSITE | https://www.etflogic.io | Full Time

ETFLogic is a fintech data analytics and quant tools company. We help our clients - ETF Issuers, Asset Managers, RIAs, FA and Corporates - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions. We are building quantitative tools, analytics and trading signals around ETFs and their underlying assets.

This role would, in part, further researching and development in key areas: intraday fair-value pricing, portfolio construction, portfolio optimization, fixed-income pricing, factor analysis, liquidity analysis.

Prior finance experience in these areas is preferred.

Our tech stack is comprised of JS, React, Python, AWS, kdb+/q

We are currently a team of five and looking to expand. We are well funded with a strategic VC.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Developer | New York, NY | ONSITE | https://www.etflogic.io | Full Time |

ETFLogic is a fintech data analytics and quant tools company. We help our clients - ETF Issuers, Asset Managers, RIAs, FA and Corporates - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions. We are building quantitative tools, analytics and trading signals around ETFs and their underlying assets.

Some of our key areas of focus are in intraday fair-value pricing, portfolio construction and optimization, fixed-income pricing and factor analysis. Prior experience in any of these areas is preferable.

Our tech stack is JS, React, Python, AWS, kdb+/q

We are currently a team of five and looking to expand. We are well funded with a strategic VC.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Developer | New York, NY | ONSITE | https://www.etflogic.io | Full Time |

ETFLogic is a fintech data analytics company. We help our clients - ETF Issuers, Traders, Investment Managers - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape.

We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions. We are building quantitative tools, analytics and trading signals around ETFs and their underlying assets.

Some of our key areas of focus are in intraday (fair-value) pricing, portfolio construction and optimization, fixed-income pricing and factor analysis.

Our tech stack is JS, React, Python, AWS, kdb+/q

We are currently a team of 5 and looking to expand. We are well funded with a strategic VC.

In addition to quant-focused developers we are looking for Frontend Devs.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Developer | New York, NY | ONSITE | https://www.etflogic.io | Full Time | ETFLogic is a fintech data analytics company. We helps our clients - ETF Issuers, Traders, Investment Managers - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape. We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions.

We are building quantitative tools, deep analytics and trading signals around ETFs and their underlying assets. Some of our key areas of focus are in ETF intraday (fair-value) pricing, portfolio construction and optimization, fixed-income pricing and factor analysis.

Our tech stack is JS, React, Python, AWS, kdb+/q

Prior experience in finance or ETFs is not necessary.

We are currently a small team of 4 and looking to expand. We are well funded with a strategic VC.

In addition to quant-focused developers we are looking for Frontend Devs.

Please reach out with your resume: info at etflogic dot io.

ETFLogic | Quantitative Developer | New York, NY | On Site | https://www.etflogic.io | Full Time |

ETFLogic is a fintech data company. We helps our clients - ETF Issuers, Traders, Investment Managers - make better investment decisions with Exchange Traded Funds and grow their assets. ETFs hold in excess of $5 trillion in assets globally. That number is projected to reach $30tr by 2030. Investor demand continues to drive innovation and complexity in the ETF landscape. We empower ETF ecosystem members to better understand what is “under the hood” and gain an edge in investment trading decisions.

We are building quantitative tools, deep analytics and trading signals around ETFs and their underlying assets. Some of our key areas of focus are in ETF intraday (fair-value) pricing, portfolio construction and optimization, fixed-income pricing and factor analysis.

Our tech stack is JS, React, Python, AWS, kdb+/q

Prior experience in finance or ETFs is not necessary.

We are currently a small team of 4 and looking to expand. We are well funded with a strategic VC.

Please reach out with your resume: info at etflogic dot io.