Data Scientist

3 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
About the Role

This position focuses on developing and implementing data-driven strategies across various asset classes, including equities, digital assets, and macro markets.

You will work closely with our team to build and backtest factor models, develop trading strategies, and generate and model factor returns and correlations across a range of asset classes.

Key Responsibilities
  • Conduct in-depth research and analysis on equities, crypto assets, and factors influencing market behavior.
  • Develop, test, and deploy data models using Python and other machine learning tools.
  • Integrate and manage APIs, and set up interactive dashboards for real-time data visualization.
  • Utilize quantitative finance libraries (Pandas, NumPy, QuantLib) for data manipulation and model development and visualization.
  • Collaborate with engineering teams to integrate and visualize data science insights into our broader investment processes.
Ideal Candidate Profile
  • A proven track record of competing in data science competitions is a strong plus.
  • Familiarity with data science techniques, including data preparation, missing imputation, and data transformation.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Computer Science, Finance, or a related field; Master's degree preferred.
  • 3-5 years of experience in data science, ideally with a focus on financial markets.
  • Demonstrated experience in integrating APIs and building user-friendly dashboards.
  • Strong knowledge of quantitative finance and statistical analysis, including experience with relevant libraries (Pandas, NumPy, QuantLib).
Key Attributes
  • High degree of initiative and personal drive, with the ability to self-learn quickly.
  • Strong curiosity and passion for financial markets.
  • Ability to work independently and thrive in a fast-paced, collaborative environment.
We Offer
  • Competitive compensation package.
  • Opportunity to work on cutting-edge projects at the intersection of finance and technology.
  • A collaborative and innovative team environment.

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