Jobs
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.
QUALIFICATIONS
Experience:
Bachelor’s or Master’s Degree with 5-8 years of experience in data analytics
Must have:
Marketing analytics experience
Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
Predictive modeling using Machine Learning
Good to have:
Experience in financial services
Experience working with data from different sources and of different complexity
Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
Skills:
Analytical Skills:
Strong logical reasoning and problem solving ability
Proficient in converting business problems into analytical tasks, and analytical findings into business insights
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 PySpark, Hive and Scala
Proficient in MS Excel, PowerPoint
Good to have:
Experience with Tableau
Soft Skills:
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Should have excellent communication and inter-personal skills
Strong process/project management skills
Ability to coach and mentor juniors
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
- Experience in Pyspark, SQL & Python
- Experience in data visualization tools like Tableau
- Data science and Machine learning concepts understanding and experience is a plus
------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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About Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
Employees
New York City
Headquarters
Reviews
3.3
4 reviews
Work Life Balance
3.0
Compensation
3.2
Culture
2.8
Career
2.5
Management
2.7
35%
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Pros
Compensation increases for investment banking roles
Legitimate investment banking employer
Internship opportunities available
Cons
Unclear career progression paths
Limited meaningful experience in internships
Compensation raises lower than competitors
Salary Ranges
28 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Risk Intermediate Analyst
1 reports
$77,165
total / year
Base
$67,100
Stock
-
Bonus
-
$77,165
$77,165
Interview Experience
5 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 40%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Programming Assessment
4
Hiring Manager Interview
5
Panel/Superday Interviews
6
Final Decision
Common Questions
Technical Knowledge
Case Study
Behavioral/STAR
Past Experience
Culture Fit
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