At PricingDirect, we are redefining financial market data analytics with cutting-edge solutions that power strategic decision-making. As a Data Scientist - Vice President, you will play a pivotal role in shaping our data science initiatives, leveraging machine learning, quantitative modeling, and big data analytics to enhance pricing methodologies. This is an opportunity to work with vast datasets, apply innovative algorithms, and drive meaningful impact in the financial sector.
Key Responsibilities
Lead the development of advanced pricing models and predictive analytics solutions.
Apply statistical and machine learning techniques to improve accuracy and efficiency.
Work with cross-functional teams, including quantitative analysts, engineers, and product managers.
Conduct in-depth data analysis to uncover insights and refine methodologies.
Optimize and automate data pipelines to support large-scale financial datasets.
Present findings and recommendations to senior stakeholders, ensuring data-driven decision-making.
Qualifications & Skills
Advanced degree (Master’s or PhD) in Data Science, Computer Science, Mathematics, or a related field.
Strong proficiency in Python, R, SQL, and cloud computing environments.
Experience in financial modeling, time-series analysis, and quantitative research.
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Ability to translate complex data insights into strategic business decisions.
Strong leadership, problem-solving, and communication skills.
Why Join Us?
Work in a dynamic environment that fosters innovation and excellence.
Collaborate with top-tier professionals in finance and technology.
Drive impact by enhancing financial market transparency through data science.
