Quantitative Researcher Salary at Citadel Ny BETA

Our client, a highly successful multi strat hedge fund are now looking to hire a talented systematic vol quant researcher for a greenfield pod build in New York. In the role, you will work alongside the Senior Portfolio Manager to focus on analysing, developing, and implementing single stocks and index options strategies Preferred Skills: · Expert in Python programming skills (SQL and KDB/Q are a plus) · Bachelor's or Master's degree in Statistics, Mathematics, or related STEM field from top ranked University · Demonstrated knowledge of derivatives · Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concept · Strong experience in researching, evaluating and coding alphas, including with statistical methods leveraging machine learning techniques This opportunity provides an innovative and fast-paced environment with excellent opportunities for career growth. Get in touch to find out more! niamh@paragonalpha.com

About us Nasdaq (Nasdaq:NDAQ) is a leading global provider of trading, clearing, exchange technology, listing, information and public company services. Through its diverse portfolio of solutions, Nasdaq enables customers to plan, optimize and execute their business vision with confidence, using proven technologies that provide transparency and insight for navigating today's global capital markets. As the creator of the world's first electronic stock market, its technology powers more than 100 marketplaces in 50 countries, and 1 in 10 of the world's securities transactions. Nasdaq is home to approximately 4,000 total listings with a market value of approximately $15 trillion. To learn more, visit: http://www.nasdaq.com The Team The Nasdaq Investigations and Enforcement Team's mission is to protect investors and market integrity by investigating possible misconduct and enforcing Nasdaq's market and listings rules and the federal securities laws. We're looking for an exceptional investiga

Job Description Job Description iSphere.net, a top IT consulting company, is seeking an experienced Quantitative Researcher to join our client's systematic equity trading team. In this full-time, partially remote opportunity in NYC, you will leverage our client's existing research and trading infrastructure to develop innovative systematic trading strategies. The ideal candidate will have strong programming skills in Python and a passion for deep data analysis and creative alpha generation. As part of a small team reporting to the Portfolio Manager, you will be involved in all aspects of systematic trading, leading to tremendous growth opportunities. Job Description Experienced Quantitative Researcher to join one of our systematic equity trading teams. In this role, you will be able to leverage the team's existing research and trading infrastructure to develop innovative systematic trading strategies in their full cycles, from deep data analysis to idea generation and back testing, and

Our client, a Boston-based fundamentally driven systematic investment manager with more than 40 billion in managed assets, is seeking a Quant Researcher to join the firm. The company takes a bottom-up approach to research and security selection and distils its findings into systematic processes that are applied across regions, styles, and capitalizations. It offers long only and alternative investment strategies that invest in both equity and credit markets. The firm has capabilities in systematic responsible investing, offering dedicated quantitative strategies and incorporating proprietary ESG and Climate alpha signals across a diverse range of strategies. The Role: Develop and improve quantitative investment strategies in financial markets within the Strategic Alpha Research team. Support all strategies from alpha generation through to trade execution and implementation and work closely with other team members to create new and support existing strategies by identifying new investme

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

Quant Trading firm is looking for a Senior Quantitative Researcher to develop new and improve existing equities trading strategies. You will analyze terabytes of raw tick data, identify predictive market signals, and implement them into new trading strategies. Hands-on data analysis expertise in Python required. R or Julia, advanced statistical analysis skills and experience with high-volume, high-dimensional data modeling are required. Should also have some C++ experience; experience in Machine Learning, Pandas, Scikit-Learn and Numpy a plus. MS or PhD in STEM field and at least 2 years of work experience outside of school (Recent grads (2023 and 2024 will not be considered). Financial industry experience (Equities and/or Options) required. Buy side preferred.

Job Summary: We are seeking a quantitative researcher to develop, implement, and enhance algorithms and trading strategies for our automated trading system. The successful candidate will join the current team of researchers. In addition to possessing excellent analytical and technical skills, the successful candidate will be a creative problem solver, a clear communicator, and a strong team player. Key Responsibilities: Generate ideas to enhance existing trading strategies and algorithms and develop new ones. Perform quantitative research to validate and optimize innovations and improvements to trading models. Collaborate closely with portfolio managers and software developers in research and implementation. Required Skills and Experience: Highly proficient in applying advanced statistical methods to large datasets. Experience developing financial models. Demonstrated expertise in programming with at least 3-5 years of experience in Python and SQL databases. Experience with automated t

Systematic Quantitative Researcher - Entry/Junior Level - London/Paris/New York Office Locations My client is a leading quantitative hedge fund with offices across Europe, North America and Asia. Their teams trade all traditional asset classes and cover a mix of MM/HFT, Stat Arb, Quant Macro, and Event-Driven strategies. The firm is looking for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working with developers and traders to optimize, implement, monitor and manage strategies. The Role: Collaborate with other quantitative researchers and developers to clean datasets, discuss research, and optimise systematic trading strategies. Involvement in all aspects