AI & Machine Learning Data Scientist (Finance and Actuarial)

Find and hire world-class Finance and Actuarial Data Scientists immediately

Cloud Description

This TalentCloud requires data scientists with strong expertise in finance and actuarial who can solve a variety of important problems in the industry. This TalentCloud seeks experts with extensive knowledge of data science as well as financial markets. Data scientists with 3+ years of experience in fintech are preferred. 

Required Skills 

  • Proficient in Python
  • 3+ years of experience in finance, actuarial, or a related field
  • Extensive experience with quantitative research, optimization, statistical models, time series analysis, forecasting, and back-testing
  • Extensive experience with scikit-learn, statsmodels, SciPy, ffn, quantecon, 
  • Expert in supervised (classification, regression) and unsupervised machine learning (anomaly detection, cluster analysis)
  • Proficient in building/ tuning/ testing models using machine learning and deep learning algorithms including tree-based methods, Bayesian models, support vector machines, feed forward networks, recurrent neural networks, and convolutional neural networks
  • Expert in feature engineering and dimensionality reduction methods
  • Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/ capping, and data transformations
  • Hands-on experience writing data processing and data pipeline for structured and unstructured data model development 
  • Expert in statistical models such as regression analysis, survival analysis, and time series analysis
  • Proficient in SQL
  • Experience with text-related packages in Python such as NLTK, spaCy, and Gensim
  • Excellent communication and storytelling skills
  • Comfortable working independently
  • Familiarity with version control, especially Git/GitHub

Preferred Skills 

  • 5+ years of experience in finance, actuarial, or a related field
  • Experience with econometric models such as panel data analysis and vector autoregression
  • Experience with Apache Spark
  • Experience with NoSQL databases
  • Experience with Keras, PyTorch, and TensorFlow
  • Web crawling/ scraping with Python
  • Experience with Container
  • Experience with Django
  • Ability to work with REST APIs
  • Experience in cloud platforms such as GCP, AWS, or Azure

Are you an Expert in this field?

If you possess proficiency in any of the skills in this field, you can apply to this TalentCloud. Once you have been approved to join this Cloud, you will be able to access exclusive contract opportunities from our clients.