Description
In this role, you will leverage your expertise in AI and machine learning to drive innovative solutions in the ESG (Environmental, Social, and Governance) sector within asset management or financial services. Your experience will be instrumental in designing and developing advanced AI/ML models while enhancing their accuracy and effectiveness.
Collaboration with business teams is essential, as you will work closely to promote the adoption and integration of model outputs. You will also be responsible for building advanced analytics solutions using various cloud technologies, partnering with the Tech Product Team and Data Scientists to scale AI/ML models effectively.
Requirements
- 7+ years of overall experience, with 1-3 years in an ESG technology-focused role.
- Proficiency in Python and basic libraries for machine learning, including scikit-learn and pandas.
- Experience with machine learning tools such as R, Theano, TensorFlow, SparkML, or Foundry.
- Familiarity with modeling types to solve business problems, including:
- Classification
- Regression
- Time series
- Clustering
- Text analytics
- Survival
- Association
- Optimization
- Reinforcement learning
- Understanding of data models, large datasets, and business/technical requirements.
- Knowledge of BI tools, statistical programming languages, and libraries.
- Functional knowledge of data visualization libraries such as matplotlib or ggplot2, and other visualization tools like Microsoft Power BI, Quick Sight, or Tableau.
- Familiarity with cloud and computing technologies, including Hadoop, Apache Spark, AWS, Microsoft Azure, or Google Cloud.
- Bachelor’s or Master’s degree in computer science, data science, statistics, mathematics, or a related field.
Responsibilities
- Design and develop AI/Machine Learning models while enhancing their accuracy.
- Partner closely with business teams to drive the adoption and integration of model outputs.
- Build advanced analytics solutions using various cloud technologies and collaborate with the Tech Product Team and Data Scientists to robustly scale AI/ML models.
Employment Type: Full-Time