Analytics - Data Science Analyst
Listed on 2025-12-01
-
IT/Tech
Data Analyst, Data Scientist
Job Title:
People Analytics - Data Science Analyst
Job Code: 11393
Country: US
City:
New York
Skill Category:
Human Resources
Description:
Corporate
Title:
Analyst
Department: Human Resources
Location: New York
Company overview: Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions:
Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit
Aon’s Benefit Index ® , Nomura’s benefits rank #1 amongst our competitors
Department Overview:
The Human Resources team partners with Nomura’s businesses to offer a consistent global approach to people management with local ownership and delivery. Our objective is to support No mura’s Vision and Values making Nomura a vibrant and exciting place to work for, to attract and retain the best people and be recognized as an employer of choice. We seek to ensure that there is clarity about how the HR team makes a difference to business performance.
One of our key requirements is in the management of people risk across our businesses, and to encourage integrity, fairness, transparency and accountability by providing management information and data‑enabled insight that supports strategic decisions around managing people performance and risks.
Role
Description:
Drive development of people analytics products and support digital transformation across Nomura Group.
Job Responsibilities:
- Exceptional analytics experience & technical skills. Expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
- Be an analytics technical expert. Lead and explain/educate to all levels people across all of Nomura in these areas;
Analytics, Coding, Structured & Unstructured Databases, Statistical algorithms and Models, Machine learning and AI, Frameworks and Libraries. - Contribute to the development of Nomura’s data products. Use your analytics expertise plus FS domain and/or HR functional knowledge, problem solving skills and independent thinking to create Nomura’s data, information & analytics products.
- Be a team player & an individual contributor. Work with HR colleagues from within and outside of the People Analytics team, the wider GDO (Global Data Office) team and other business function colleagues as part of larger deliveries, as well as being able to work independently or in small teams to continuously deliver business value for Nomura.
- Be a trusted partner. Someone that anyone in Nomura can come to for help with creating analytics driven business transformation.
Experience, qualifications and knowledge required:
- Preferred MBA or Masters in quantitative fields (Computer Science, Statistics or similar)
- Advanced Python working experience.
- SQL (MySQL, Postgre, Teradata, etc.).
- Regression models, Hidden Markov models, SVM, Dimensionality Reduction, Decision Trees, Clustering, Optimization algorithms.
- Boosted models, Random forest, Ensemble algorithms, Natural language processing, Neural network models.
- (Optional) No
SQL (Mongo
DB, Couch
DB, Cassandra, Memcache
DB), Voice, Image, Video, etc. - (Optional) Tensor Flow, OpenCV, Theano, CNTK, scikit, Caffe, Spark Mlib, etc.
- Understanding FS industry fundamentals and business problems to find new ways to leverage data, and/or experience of working with HR data to solve strategic problems related to the workforce.
- Intellectual curiosity to solve data driven problems.
- Independent thoughts and unique ideas on solving business problems.
- Able to collaborate / virtually manage multi-cultural, multi-disciplined, globally dispersed teams.
- Strong communication skills to be able to explain highly technical problems in simple layman form.
- Ability to…
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