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.
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.
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