Treasury and Trade Services Analytics
Citi is hiring for Treasury and Trade Services Analytics in Bengaluru, Karnataka. The official vacancy is a full-time hybrid job, with the role described as Spec Analytics Analyst 2 at C10 level. The requisition number is 26999215, and the employer's page is dated 14 October 2026.
This is an experienced analytics opening, not an internship or an unrestricted fresher drive. The stated qualification is a bachelor's degree with at least three years of data-analytics experience, or a master's degree with at least two years of data-analytics experience.
Role at a glance
- Employer: Citi.
- Team: TTS Analytics.
- Internal role: Spec Analytics Analyst 2, C10.
- Location: Bengaluru, Karnataka, India.
- Mode: Hybrid.
- Time type: Full time.
- Qualification: Bachelor's plus 3+ years, or master's plus 2+ years in data analytics.
- Reference: 26999215.
- Salary amount and deadline: Not disclosed.
What the TTS Analytics team does
The team supports product, pricing, client-experience and sales functions within the global Treasury and Trade Services business. Its work focuses on questions such as customer acquisition, cross-selling, revenue growth and improving client experience.
The employer describes turning business problems into analytical frameworks, extracting useful insights from data and identifying business opportunities. Predictive models, big-data tools and go-to-market strategies are part of that wider remit. The role is not limited to preparing routine spreadsheets without interpreting the business question.
Responsibilities across the client lifecycle
The analyst will report to the AVP leading the team and work on multiple analyses during the year. The description covers acquisition, engagement, client experience and retention. Findings need to be useful to business and functional stakeholders rather than remaining purely technical outputs.
The source names several types of input data: client profiles and engagement, transactions and revenue, digital information, and unstructured material such as call transcripts. Applicants should therefore be comfortable with different data structures and levels of complexity.
Required analytical experience
Citi asks for experience identifying and resolving business problems involving sales or marketing strategy, pricing, customer experience, cross-selling and retention, preferably in financial services. It also requires developing or using analytical tools to identify patterns, trends and outliers.
Applying predictive-modelling techniques and working with both structured and unstructured data are explicitly listed. The employer also asks for the ability to derive business value from text data using natural-language-processing techniques. These requirements distinguish the position from a role that only needs basic spreadsheet entry.
The degree-and-experience alternatives should be read together. A master's degree does not remove the experience requirement: the source still asks for two or more years in data analytics. The bachelor's route requires three or more years.
Tools and communication skills
The advertised tools include Python or R, PySpark and related tools, Hive, Microsoft Excel and PowerPoint. Tableau experience is listed as good to have. Applicants also need to formulate analytical methods and retrieve and manipulate information from big-data environments.
Strong problem-solving, communication and interpersonal skills are required. The description values organisation, attention to detail and adapting to a matrix working environment. In practical terms, candidates should be able to explain not only how an analysis was performed, but also why its conclusion matters to the stakeholder.
Hybrid work and undisclosed terms
The official header identifies the work type as hybrid and the location as Bengaluru. Hybrid should not be advertised as fully remote. A required number of office days, exact daily schedule and relocation support are not supplied in the public description; confirm those details with the recruiter.
The listing does not disclose a numerical salary, fixed employment duration or application closing date. Do not treat an online salary estimate as an official pay range. Check the current application status and request written employment terms if you progress through selection.
Preparing a relevant application
As optional preparation, choose examples showing how you translated a business question into an analysis, handled data-quality issues and communicated a recommendation. Be precise about the data, tools and modelling work you personally completed. A clear account of your contribution is more useful than a long list of tools without evidence.
These suggestions are not an employer-announced interview checklist or a guarantee of selection. Follow the actual questions and document requirements in Citi's application process. The employer also provides an accessibility route for candidates needing an accommodation.
Apply through Citi
Use the official careers page, confirm requisition 26999215 and review the complete current description before applying. This is a private financial-services job, not a government vacancy. Applications were open when checked, but a displayed opening can change or close.
