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Job Overview

OVERVIEW

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.

ROLE DESCRIPTION

The role will be Senior Data Scientist (C11) in the TTS Analytics teamThe role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS businessThe incumbent will understand complex business problems and devise a solution for the same using Deep Learning and Generative AI skills, independently.This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders

QUALIFICATIONS

Experience:

5-8 years relevant work experienceMust have:Understands complex deep learning architectures and must have implemented deep learning solutions hands-onShould have good understanding of Gen AI principles and basic prompt engineeringIn-depth knowledge of classical machine learning is necessary as well across variety of algorithms, like regression, tree based methods etc.Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text MiningGood to have:Experience in financial servicesExposure to Gen AI designs like RAG etc.Understanding of Agentic workflows is a plus

Analytical Skills:

Proficient in data science and machine learning concepts with the mathematics behind themMust have experience in implementing the Data Science knowledge in actual industry projectsProficient in formulating analytical methodology, identifying trends and patterns with dataHas the ability to work hands-on to retrieve and manipulate data from big data environments

Tools and Platforms:

Proficient in Python/R, SQL, PysparkProficient in TensorFlow, Keras, Pytorch and more advanced DL frameworksProficient in MS Excel, PowerPointExpertise on using code generation tools like CopilotGood to have:Experience with LLMs like Gemini/GPT/Llama etc.Experience with Tableau

Soft Skills:

Strong analytical and problem-solving skillsExcellent communication and interpersonal skillsBe organized, detail oriented, and adaptive to matrix work environment

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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