Crypto.com - the best place to buy, sell, and pay with crypto.
Quantitative Researcher - Prediction Markets, Quant Trading
Location
United States
Posted
7 days ago
Salary
$100K - $150K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Quantitative Researcher - Prediction Markets, Quant Trading
Crypto.com
Role Description We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: - Data engineering - Research - Modeling - Close collaboration with traders across sports and non-sports event markets - A range of contract types, including single-outcome markets, player props, and parlays Responsibilities: - Build data foundation, transform raw data into pricing inputs - Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets - Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays - Partner closely with traders to improve pricing logic, market coverage, and trading performance - Build frameworks for backtesting, simulation, and model validation - Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes - Help define the tooling, workflow, and research standards for a new team Qualifications - Strong quantitative background in statistics, math, ML, economics, or a related field - Experience building models in trading, sports, betting, prediction markets, or similar domains - Strong Python/data skills and comfort owning data pipelines as well as modeling - Ability to move quickly from raw data to research insight to production-ready mode - High ownership, strong communication skills and comfortable with fast-paced high growth environment Requirements - $100,000 - $150,000 a year Company Description We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
Related Guides
Related Categories
Related Job Pages
More User Researcher Jobs
Student APTPUO - TRA1301 B - Winter 2027
University of OttawaThe University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork, and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. All qualified persons are invited to apply We welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women, and LGBTQIA2S+ persons Committed to creating and maintaining an accessible, barrier-free work environment Working with applicants with disabilities requesting accommodation during the recruitment, assessment, and selection processes
Role Description This position is for a Student Part-Time Professor to teach the course "Introduction to Translation" (TRA1301) at the University of Ottawa's Faculty of Arts, specifically within the School of Translation and Interpretation. - Course Description: Introduction to translation as practised professionally. - Dictionaries and documentation. - Exercises in preparation for translation. - Translation of a variety of simple texts from French into English. Course Schedule: - Monday: 11:30-13:00 - Thursday: 13:00-14:30 Qualifications - M.A. in Translation or an undergraduate diploma and experience in translation. - Experience in the teaching of translation or post-editing is an asset. Requirements - This course will be offered online. - An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. - If you are invited to continue the selection process, please notify us of any adaptive measures you might require. - Employees are required under provincial law to successfully complete all mandatory legislated training. - The hiring process will be governed by the current APTPUO collective agreements. Benefits - Hourly Rate: Teaching: $239.47 (2024-2025). - These rates do not include vacation pay nor statutory pay. - These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Role Description qSpark is looking for a quantitative researcher with a genuine edge in signal research and market microstructure to join our team. This role demands someone who ships research into live strategies and is laser-focused on strategies that achieve high Sharpe in production. - Research, develop, and continuously improve quantitative trading signals across HFT and near-HFT timeframes, with a relentless focus on high Sharpe, deployable strategies. - Design and run rigorous backtests that honestly account for microstructure: spread costs, venue behavior, print filtering, adverse selection, and realistic fill modeling — with the explicit goal of performance that holds up in production, not just on paper. - Collaborate closely with portfolio managers and developers to bring validated research into production and improve live strategies. - Analyze live performance regularly — decompose P&L, identify regime shifts, attribute slippage — and feed findings back into active research. - Take on increasing levels of research leadership over time, including mentoring and setting the direction for research cycles. Qualifications - 2+ years of hands-on quantitative research or strategy development in an electronic trading environment, with demonstrated ability to produce high Sharpe strategies that survive live deployment. - Strong applied statistics: Performance estimation, overfitting stress-tests, non-stationarity, and test design under real market constraints. - Fluent in Python for research; C++ familiarity a genuine advantage. - Solid knowledge of market microstructure: TAQ data interpretation, venue differences, short-term price dynamics. - Track record of taking research across the line into live production — not just exploring. - Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Computational Finance, or a related quantitative field.
• Lead the scoping, direction, and planning of user research for complex projects • Oversee and execute user research activities across the business area • Collaborate closely across design disciplines and other functions • Create, evolve, and promote user research guidelines and standards • Coach, mentor, and give constructive feedback to colleagues
Senior Burkina Faso Country Researcher Remote Contract OverviewApplication Description The Centre for Information Resilience (CIR) is an independent organisation dedicated to exposing human rights violations and threats to democracy. We achieve this through open source research, digital investigations, capacity-building with local partners, and collaboration with media to amplify our impact. CIR was born out of a determination to expose those spreading harm – online and offline – around the world, particularly in areas of violent conflict, such as Ukraine, Sudan and Myanmar. Our projects are at the forefront of efforts to investigate and document human rights abuses, war crimes, harms targeting women and minorities, and influence operations. We work closely with multilateral and national justice accountability bodies. Contract Type: Contractor Contract length: 3 months, with the possibility of extension up to 12 months. Hours needed: Full time - 5 days a week at 8 hours a day. Location: Remote. Languages: You must be able to speak and write English and French. About the Role The Centre for Information Resilience (CIR) is recruiting a senior researcher and expert on Burkina Faso. The role is open to candidates based inside Burkina Faso or in the regional/international diaspora, working securely and remotely where field presence is not feasible. CIR requires the support of a Burkina Faso expert with a deep understanding of the Sahelian and West African context to conduct media, social media, and (where safe) field research. Requirements Main responsibilities - Conduct media, social media, and (where safe) field research in Burkina Faso. - Analyse and synthesise gathered information and identify links between key pieces of evidence, distinguishing verifiable findings from analytical judgement. - Conduct key informant interviews — remotely or in person — to deepen understanding of key research questions. - Deliver comprehensive, well-sourced reports highlighting key information, links, patterns, and risks. - Manage a team of researchers. Experience needed: - Strong, current understanding of the Burkinabè political, security, religious, and information landscape, including the dynamics of the transition. - Demonstrated familiarity with the principal armed groups and influence actors affecting the information space. - Excellent investigative skills and a curious, sceptical mind. - Ability to operate in a logical, methodical, evidence-led manner with strong attention to detail and rigorous sourcing. - Analytical ability to identify links and connections using contextual information, and to explicitly flag uncertainty. - Strong operational security awareness and discretion, given the sensitivity of the subject matter and the constraints of the press and research environment. - Experience managing a diverse team. Desired Skills - Fluency in one or more of Burkina Faso's local languages. - Knowledge or experience scanning and reporting on social media activity across Facebook, WhatsApp, Telegram, and TikTok — the platforms that dominate the Burkinabè information ecosystem. - Knowledge or experience in approaches to building resilience to disinformation and harmful influence. - Familiarity with open-source research methods. - Experience in remote management or on remotely managed programs

