As a global leader in creative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.
Major Duties:
- Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training, validation and testing datasets
- Analyze raw datasets using descriptive statistics,
working directly with domain experts to understand the meaning of data fields
- Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
- Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
- Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
- Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
- Discover biases or leakage in datasets and help ensure that train/test splits reflect realistic expectations of real-world performance
- Run smaller to medium scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
- May present findings to internal and external customers using both data science language (F1 sco
📌 Data Scientist, Sw Eng (Pune)
🏢 Northern Trust
📍 Pune
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