Hot Startup is looking for a talented and motivated Quantitative Engineer to join our quantitative engineering team to build out our real-time pricing and risk management platform, conduct research on statistical, financial, and meteorological topics to further develop our systems and models, and participate in trading and execution of weather contracts with clients.
In addition to these core engineering and research efforts, you will work closely with sales, business development, and product teams to spec out future features and manage client-specific research efforts.
This role provides an experienced quantitative finance engineering professional with a new challenge - we have built the world's first real-time 2-year forward weather simulation system. The simulation system powers a real-time pricing and risk management platform, that is certainly at the forefront of a burgeoning and unique asset class - weather. We are trying to grow this potentially $3Trillion+ industry by applying technology to enable simpler, faster, more automated, and more efficient transfer of weather risk.
Who You are:
2+ years quantitative experience, ideally in a financial, actuarial, or statistics role
Strong analytical/quantitative background or training at a financial services firm, hedge fund, research group, or insurance firm
Experience developing quantitative systems with at least one of the following: Matlab, C++, R, or Java, SAS/STAT
Interest in joining a small growing firm that is part hedge fund, part startup
Graduate from top-tier university, with a degree in math, statistics, physical sciences, or related
Preferred: Masters or PhD in same
Preferred: Trading desk experience
Preferred: Experience managing a team developing trading algorithms or pricing / risk management systems
What You'd Do:
Design, develop, and deliver new features and systems for our automated weather risk management platform
Conduct financial risk analysis, define pricing terms, and execute (trade) weather contracts with clients and counterparties
Research and develop future pricing algorithms and models, based on proprietary statistical and meteorological research
Ideally, manage our team of quantitative engineers and analysts
What we offer:
Driven, motivated, and talented team that believes in working hard and playing hard
Energetic, idea-driven and transparent work environment
Exciting world-changing opportunity - we are striving to do something very big about something that affects everyone
Great location: cool, red-brick, open office
Competitive salary and great benefits, including excellent equity packages
Email me your resume for consideration
In addition to these core engineering and research efforts, you will work closely with sales, business development, and product teams to spec out future features and manage client-specific research efforts.
This role provides an experienced quantitative finance engineering professional with a new challenge - we have built the world's first real-time 2-year forward weather simulation system. The simulation system powers a real-time pricing and risk management platform, that is certainly at the forefront of a burgeoning and unique asset class - weather. We are trying to grow this potentially $3Trillion+ industry by applying technology to enable simpler, faster, more automated, and more efficient transfer of weather risk.
Who You are:
2+ years quantitative experience, ideally in a financial, actuarial, or statistics role
Strong analytical/quantitative background or training at a financial services firm, hedge fund, research group, or insurance firm
Experience developing quantitative systems with at least one of the following: Matlab, C++, R, or Java, SAS/STAT
Interest in joining a small growing firm that is part hedge fund, part startup
Graduate from top-tier university, with a degree in math, statistics, physical sciences, or related
Preferred: Masters or PhD in same
Preferred: Trading desk experience
Preferred: Experience managing a team developing trading algorithms or pricing / risk management systems
What You'd Do:
Design, develop, and deliver new features and systems for our automated weather risk management platform
Conduct financial risk analysis, define pricing terms, and execute (trade) weather contracts with clients and counterparties
Research and develop future pricing algorithms and models, based on proprietary statistical and meteorological research
Ideally, manage our team of quantitative engineers and analysts
What we offer:
Driven, motivated, and talented team that believes in working hard and playing hard
Energetic, idea-driven and transparent work environment
Exciting world-changing opportunity - we are striving to do something very big about something that affects everyone
Great location: cool, red-brick, open office
Competitive salary and great benefits, including excellent equity packages
Email me your resume for consideration
