Quantitative Researcher Salary at Apifiny BETA

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab, Finance Industry) Education: PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative investment manager - is hiring new or recent PhD graduates and experienced researchers (postdoctoral fellows, faculty, scientific lab, finance industry) to create and improve proprietary trading models and strategies while working closely with a deep bench of senior researchers. We have a successful record of hiring, challenging, and retaining talented researchers from diverse academic backgrounds. Individuals interested in conducting innovative research with real-world impact seem to enjoy and excel at the types of problems we like to solve. PDT Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually challenging environment that encourages collaboration and innovative ideas. In ou

As a Quantitative Researcher at QuantCo, you will contribute to our core services and products, applying economic and statistical models to large-scale data to derive insights and actionable recommendations across a wide range of applications in fields such as insurance, healthcare, and e-commerce. You will work alongside our data scientists, other economists, and software engineers to solve technical and quantitative challenges ensuring that our solutions produce value for our clients. The Quantitative Researcher position applies both qualitative and quantitative economic analysis to the historical and proposed business decisions of our clients across a wide range of industries. We are looking for team players who have excellent quantitative abilities and: A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields from a leading university In-depth understanding of mathematical and statistical concepts behind most common machine learning

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm's growth. About the Position We're constantly asking questions to improve what we already do and explore new opportunities. As a Quantitative Researcher in our NYC office, you'll work directly with our traders and research infrastructure to: Conduct research and analyze large data sets to develop and implement alpha signals while contributing to portfolio construction Collaborate with others to analyze the performance while optimizing and creating new strateg

Research at GSA Capital means combining creativity, rigour and attention to detail in the design of systematic investment strategies. Quantitative researchers utilise techniques from many branches of applied mathematics and statistics to evaluate large quantities of relevant data and develop models of financial markets with the aim of producing robust trading algorithms based on those models. If you have outstanding academic credentials and believe you possess relevant attributes to successfully contribute towards the research, implementation and continued development of new and existing strategies, please get in touch.

About the Position At Jane Street, we consider trading and programming to be two ends of a continuum. As both a trading firm and a tech firm, we have room for people who love to trade, people who love to program, and people everywhere in between. Nearly all of our traders write code, and many of our software engineers trade. The role you carve out for yourself will be largely dependent on your strengths and the types of problems you enjoy thinking about. Researchers at Jane Street are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. As a mix of the trading and software engineering roles, this work involves many things: analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them. About You Be able to apply logical and mathematical thinking to all kinds of problems. Asking great questions is more important than knowing all the answers Write great code. We

Qualifications Education: Bachelor's degree (or higher) in Computer Science, Physics, Applied Sciences, Mathematics, and Engineering from a top university with a minimum GPA of 3.5/4.0 Experience with four (4) or more of the following: C++ and object oriented programming Network programming Machine learning Deep Learning/Reinforcement Learning Scripting language: Python, R, and/or Matlab, etc. Parallel and concurrent programming Ultra-low latency system knowledge Graphical UI Exchange connectivity Working knowledge of LINUX and kernel bypass technology Automated/algorithmic trading Great communication/teamwork skills Time series analysis Probability/statistics Regression analysis Raw analytic ability Digital signal processing

Senior Quantitative Researcher - Execution Algorithms Location: New York, NY (In-Person) Company: Blockhouse Job Type: Full-Time (40+ hours / week) About Blockhouse Blockhouse is redefining trade execution through cutting-edge quantitative research and execution algorithms. Our success stems from a data-driven approach to optimizing execution, blending sophisticated market microstructure modeling, smart order routing (SOR), and transaction cost analysis (TCA) to improve trade performance across equities, fixed income (rates), and crypto markets. We are seeking a Senior Quantitative Researcher to help develop and refine execution strategies that minimize slippage, optimize order routing, and enhance execution efficiency in real-time market conditions. This role offers a unique opportunity to work at the intersection of quantitative research and trading infrastructure, applying mathematical modeling and high-performance computing to improve execution quality at scale. What You'll Do Deve

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Qualitative and Quantitative Research Specialist New Job Description Overview The Advisors Research Center (ARC) team is looking for a Research Manager to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about research, the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Perform end-to-end research (Qualitative