What are the responsibilities and job description for the Data Scientist position at Radley James?
Join a highly analytical, team-oriented derivatives trading firm dedicated to assisting the world in pricing and managing risk. They are currently seeking a talented Data Scientist to join their team.Position Overview : This role is more prescriptive in nature where you will work on large amounts of messy data which is both internally generated as well as external data from vendors and exchanges. You will work closely with Quant Researchers, Engineers, and Traders to optimize trading strategies by owning and maintaining useful datasets, measuring the impact of various parameters in our strategies. You will write production code to make relevant data available to trading strategies both in real time and for offline analysis to provide good feedback to the desk that will improve the KPIs.Key Responsibilities : Apply machine learning techniques to analyze and model financial data.Develop and implement data-driven trading strategies and risk management solutions.Utilize Python, including Pandas, NumPy, and SciPy, for data manipulation and analysis.Collaborate with cross-functional teams to extract valuable insights from data and contribute to decision-making.Design experiments and analyze large datasets to identify market opportunities.Propose hypotheses to improve strategies, design experiments to measure the changes, and apply rigorous statistical tests to prove / disprove the hypotheses.Communicate findings and recommendations effectively to stakeholders.Qualifications : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.4 years of experience in wrangling and manipulating large-scale data efficiently and dealing with data issues that come with it.Excellent skills in Python, with proficiency in Pandas, NumPy, and SciPy.Proven experience in machine learning, data analysis, and modeling.Expertise in SQL to write efficient queries and basic familiarity with Linux.Ability to work independently and collaboratively in a fast-paced trading environment.Familiarity with financial markets and trading is a big plus.What We Offer : Competitive compensation package, including performance-based bonuses.Generous medical coverage, paid parental leave, free breakfast and lunch, wellness.The opportunity to work on cutting-edge trading strategies and risk management solutions.Professional development and training opportunities.A collaborative and innovative work culture that values excellence.Seniority level Mid-Senior levelEmployment type Full-timeJob function Information TechnologyIndustries Financial Services and Investment Banking#J-18808-Ljbffr
