{"schemaVersion":"jobsearcher.job.v1","id":"4edd28c65d8b0dc3a8427ca8","url":"https://jobsearcher.com/jobs/4edd28c65d8b0dc3a8427ca8","canonicalUrl":"https://jobsearcher.com/jobs/4edd28c65d8b0dc3a8427ca8","title":"Quant Engineer - Python","description":"Company Overview Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.\r\nOur team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.\r\nResponsibilities Take on primary responsibility for monetization research in a team that organizes work into three groups: (a) features, (b) predictive modeling and (c) monetization, and focuses especially on macro markets as above\r\nWork on design and iterative improvement of the decision logic that the actions of our monetization engine come out of - for example through utility function design or rules-based logic and calibration of the decision logic parameters with historical simulations and eventually post-trade data\r\nReflect the limitations of TS infrastructure in our monetization design to produce estimates that are unbiased vs. our live realization. Work with partners in Engineering and other organizations to specify improvements that produce the most benefit.\r\nReflect monetization reality in fit targets / responses being used for predictive research. Initiate research on liquidity events / triggers on which our decision logic fires.\r\nOur team is tightly knit and open, and we constantly work in adjacent areas, so if there is interest, work into feature creation and predictive modeling, especially with a monetization eye, is also always welcome.\r\nQualifications Have worked on monetization of signals that range in the horizon over which they have predictive power from a few minutes to about a day\r\nHave a strong understanding of the microstructure of the major futures exchanges, including CME, ICE and Eurex; tested through application to create features for prediction and for conditioning trading\r\nCan research and implement decision logic in various quantitative frameworks, ranging from utility function optimization to rules-based trading\r\nHave deployed latency-sensitive strategies in futures and other macro markets including FX, Treasuries, macro ETFs, etc., possibly including crypto assets\r\nWe have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.\r\nBenefits Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance\r\nPerks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms\r\nLearning: Tuition reimbursement, conference and training sponsorship\r\nTime Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves\r\nHybrid Work Policy: Flexible in-office days with budget for home office setup\r\nCompensation The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.\r\nEqual Opportunity Employment We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.\r\nReasonable Accommodations Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information.\r\nJ-18808-Ljbffr","company":"Quant Blueprint","rawCompany":"quant blueprint","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-04T01:33:11.314Z","occupations":[{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"},{"code":"523150","title":"Investment Banking and Securities Intermediation","slug":"investment-banking-and-securities-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quant Engineer - Python","description":"Company Overview Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.\r\nOur team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.\r\nResponsibilities Take on primary responsibility for monetization research in a team that organizes work into three groups: (a) features, (b) predictive modeling and (c) monetization, and focuses especially on macro markets as above\r\nWork on design and iterative improvement of the decision logic that the actions of our monetization engine come out of - for example through utility function design or rules-based logic and calibration of the decision logic parameters with historical simulations and eventually post-trade data\r\nReflect the limitations of TS infrastructure in our monetization design to produce estimates that are unbiased vs. our live realization. Work with partners in Engineering and other organizations to specify improvements that produce the most benefit.\r\nReflect monetization reality in fit targets / responses being used for predictive research. Initiate research on liquidity events / triggers on which our decision logic fires.\r\nOur team is tightly knit and open, and we constantly work in adjacent areas, so if there is interest, work into feature creation and predictive modeling, especially with a monetization eye, is also always welcome.\r\nQualifications Have worked on monetization of signals that range in the horizon over which they have predictive power from a few minutes to about a day\r\nHave a strong understanding of the microstructure of the major futures exchanges, including CME, ICE and Eurex; tested through application to create features for prediction and for conditioning trading\r\nCan research and implement decision logic in various quantitative frameworks, ranging from utility function optimization to rules-based trading\r\nHave deployed latency-sensitive strategies in futures and other macro markets including FX, Treasuries, macro ETFs, etc., possibly including crypto assets\r\nWe have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.\r\nBenefits Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance\r\nPerks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms\r\nLearning: Tuition reimbursement, conference and training sponsorship\r\nTime Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves\r\nHybrid Work Policy: Flexible in-office days with budget for home office setup\r\nCompensation The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.\r\nEqual Opportunity Employment We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.\r\nReasonable Accommodations Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T01:33:11.314Z","dateModified":"2026-07-04T01:33:11.314Z","hiringOrganization":{"@type":"Organization","name":"Quant Blueprint","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4edd28c65d8b0dc3a8427ca8"},"url":"https://jobsearcher.com/jobs/4edd28c65d8b0dc3a8427ca8"}}