Company Description Winbold is a startup working on a AI driven investment platform. Job Description Must be able to join immediately We are looking for a quantitative researcher who will work on stock market data to research and build quant and machine learning models for stock trading. You will be working on: Data Science and analytics of the stock market data Build models to identify the correlations and causations Build decision models and risk models that will be used for stock trading Build models that convert math analysis to trade decisions. You must be at home dealing with advanced statistical analysis of large data, must know core quant concepts like Bayesian inference, 2 phase stochastic optimization and related techniques. I will look at all the resumes but if you think you are the right fit, and want to get ahead of the line email me directly at madhu at winbolddatasystems.com Qualifications Advanced degree in math or statistics is preferable Must feel comfortable with all mathematical analysis Must be able convert math analysis to trade decisions Additional Information All your information will be kept confidential according to EEO guidelines.
Company Description Winbold is a startup working on a AI driven investment platform. Job Description Must be able to join immediately We are looking for a quantitative researcher who will work on stock market data to research and build quant and machine learning models for stock trading. You will be working on: Data Science and analytics of the stock market data Build models to identify the correlations and causations Build decision models and risk models that will be used for stock trading Build models that convert math analysis to trade decisions. You must be at home dealing with advanced statistical analysis of large data, must know core quant concepts like Bayesian inference, 2 phase stochastic optimization and related techniques. I will look at all the resumes but if you think you are the right fit, and want to get ahead of the line email me directly at madhu at winbolddatasystems.com Qualifications Advanced degree in math or statistics is preferable Must feel comfortable with all mathematical analysis Must be able convert math analysis to trade decisions Additional Information All your information will be kept confidential according to EEO guidelines.
Company Description Winbold is a startup working on a AI driven investment platform. Job Description This is a lead / senior position. You must be able to join immediately. We are looking for a developer to who will take ownership of the data infrastructure we are building that will process large amounts of stock market data. We are looking for a lead developer who can review and improve our architecture while adding new data sources. We use: Dagster Timescale Python Docker Looking for someone with experience in the above and also in airflow, dbt and other related technologies. Qualifications Atleast 2-3 years of experience in building and maintaining data pipelines Additional Information All your information will be kept confidential according to EEO guidelines.
As a quantitative researcher at Winbold, you will have the opportunity to work on stock market data to research and develop quant and machine learning models for stock trading. Your responsibilities will include data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. The ideal candidate must possess a strong background in advanced statistical analysis of large datasets and be well-versed in core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Additionally, an advanced degree in math or statistics is preferred, and the ability to convert mathematical analysis into trade decisions is essential for success in this role. If you are eager to join our innovative startup and believe you are the right fit for this position, we encourage you to reach out to us directly by emailing madhu at winbolddatasystems.com. We are looking for someone who can start immediately and is comfortable working with complex mathematical analysis. Rest assured that all information provided will be handled confidentially in accordance with EEO guidelines.,
Company Description Winbold is a startup working on a AI driven investment platform. Job Description Location: Remote Experience: 2–4 years Start Date: Immediate Description: We are looking for a skilled Full Stack Developer proficient in React.js and Node.js to join our fast-paced team. The ideal candidate will be responsible for developing, testing, and deploying scalable web applications that deliver seamless user experiences. You should be comfortable working across the entire stack, from responsive front-end interfaces to efficient backend APIs. Responsibilities: Design and build dynamic front-end features using React.js Develop secure, efficient backend services using Node.js and Express Integrate databases, APIs, and third-party services Write clean, maintainable, and well-documented code Work closely with cross-functional teams to deliver high-quality products on time Requirements: 2–4 years of professional experience in full stack development Strong proficiency in JavaScript, React.js, Node.js, and Express Experience with RESTful APIs and database systems (MongoDB/PostgreSQL) Ability to join immediately and adapt to an agile environment Bonus Skills: Experience working on fintech, investing, or cryptocurrency platforms Familiarity with Web3 integrations or smart contract interactions Important: For immediate Consideration please email me directly at apply @ winbold.com Qualifications Must be able to join immediately Additional Information All your information will be kept confidential according to EEO guidelines.
Role Overview: As a quantitative researcher at Winbold, you will be responsible for working on stock market data to research and build quant and machine learning models for stock trading. Your primary focus will be on data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. You should be comfortable with advanced statistical analysis of large data sets and possess knowledge of core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Key Responsibilities: - Conduct data science and analytics of stock market data - Develop models to identify correlations and causations - Build decision models and risk models for stock trading - Create models that convert mathematical analysis into trade decisions Qualifications Required: - Advanced degree in math or statistics is preferable - Proficiency in advanced statistical analysis - Ability to convert mathematical analysis into trade decisions Please note that all information provided will be kept confidential according to EEO guidelines. Role Overview: As a quantitative researcher at Winbold, you will be responsible for working on stock market data to research and build quant and machine learning models for stock trading. Your primary focus will be on data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. You should be comfortable with advanced statistical analysis of large data sets and possess knowledge of core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Key Responsibilities: - Conduct data science and analytics of stock market data - Develop models to identify correlations and causations - Build decision models and risk models for stock trading - Create models that convert mathematical analysis into trade decisions Qualifications Required: - Advanced degree in math or statistics is preferable - Proficiency in advanced statistical analysis - Ability to convert mathematical analysis into trade decisions Please note that all information provided will be kept confidential according to EEO guidelines.