Job Description

Discover your future at Citi

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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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TTS Analytics C10

What do we do?

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 Spec Analytics Analyst 2 (C10) in the TTS Analytics team The role will report to the AVP leading the team The 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 business 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:

Bachelor's Degree with 3+ years of experience in data analytics, or Master's Degree with 2+ years of experience in data analytics, or PhD. Must have: + In-depth knowledge of machine learning is must 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.
+ Predictive modeling using Machine Learning
+ Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
Good to have: + Experience in financial services
+ Deep learning and Gen AI exposure
+ Proficiency in Gen AI tools like Copilot etc.

Skills:

Analytical Skills:

Proficient in data science and machine learning concepts and must have experience in implementing the knowledge in actual industry projects Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments

Tools and Platforms:

Proficient in Python/R, SQL Experience in Hive Proficient in MS Excel, PowerPoint Good to have: + Experience with PySpark
+ Experience with Tableau

Soft Skills:

Strong analytical and problem-solving skills Excellent communication and interpersonal skills Be 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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