Citigroup Inc, the American multinational investment bank and financial services, is one of the first banks for pioneering the first ATM and revolutionising consumer banking sector. To accelerate speed to market with next-generation mobile banking capabilities.
Citi India is the only foreign bank in India with a full-service onshore platform in the country.
Citi India offers services and solutions in the domains of investment banking, capital markets, risk management, retail banking, and credit cards.
Being the third largest bank in the US in terms of assets, Citigroup has a responsible task of offering authentic service. With the growing popularity of machine learning algorithms with FinTech sector and the efficient deliverance of data science tools, Citi has deployed state-of-the-art analytics tools across various platforms.
Here are few job data science opportunities at Citi’s Bengaluru and Chennai offices:
Specialised Analytics Analyst
The candidate will be a part of the Global Decision Management, which is a global community that is driving data-driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders.
Requirements
- Basic Statistics
- Hypothesis testing
- Proficient in Formulating Analytical methodology, identifying trends and patterns with data
- Ability to handle complex data and generate meaningful business insights
- Knowledge of Segmentation, Basic Knowledge of predictive modelling, Traditional and Machine Learning Algorithms
- SAS, SQL
- MS Excel, PowerPoint
- Preferred – Knowledge Seeker, Python/R
- Knowledge of Credit Card PnL, Understanding or Retail Business
Apply here
Specialised Analytics Intermediate Analyst
AIM is a global community that is driving data-driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders.
Requirements
- Post Graduate in – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields
- 3-5 years of hands-on experience in delivering Analytical solutions, with at least 1 year in Banking Industry
- Ability to formulate and explain interactions between product features, offers and customer behaviour using statistical and business-driven methodologies
- Proficient in Modeling – OLS, logistics, Segmentation, Decision Trees, Predictive Modeling & Machine Learning (eg: Random Forest, GBM, XGB, CNN)
- Experience in financial simulation
- Proficient in Formulating Analytical methodology, identifying trends and patterns with data
- Experience in gathering data and establishing a proposal or business case in order to present a persuasive case in favour of an observed need for improvement
- Proficient in SAS, SQL for data extraction
- Proficient with Statistical Modeling tools: R, Python, SAS
- Familiarity with Using Optimization tools: Market switch/Analytica/Market share Optimizer
Apply here
GDM SBS DCX
The Digital Analytics team is focused on understanding customer engagement with Citi’s digital offerings and how that impacts their overall engagement with and value for Citi.
At this role, the candidate would drive customers to become digitally engaged with Citi and ensuring that their digital activity is sustained
Requirements
- MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute, or BTech / B.E in Information Technology / Information Systems / Computer Applications
- (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields
- 3 to 5 years of hands-on experience in business analytics
- (Preferred) Business analytics experience in banking or financial services industry
- Proficient in formulating analytical methodology, identifying trends and patterns with data
- Strong logical reasoning ability
- Experience in test design and campaign analytics
- Experience in the usage of different analytical techniques, like segmentation, predictive modelling, time series forecasting, hypothesis testing, optimization etc.
- Proficient in SAS/R and SQL
Big Data Engineer
The candidate will be involved in building big data and batch/real-time analytical solutions that leverage emerging technologies. Additional responsibilities include developing prototypes and proof of concepts for the selected solutions and implementing complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data using multiple platforms.
Requirements
- Proficient understanding of distributed computing principles
- Experience with integration of data from multiple data sources
- Experience processing large amounts of structured and unstructured data
- Knowledge of various ETL techniques and frameworks
- Good understanding of data mining, machine learning, natural language processing, or information retrieval
- Proficiency with Big Data / Hadoop Architecture (Cloudera stack)
- Spark programming in Python or Scala, Jupyter Notebook
- Experience with ML toolkits, such as SparkML, Sklearn or H2O
- Experience with NoSQL databases, such as HBase, MongoDB is a plus
- Spark-Streaming, Flume, Kafka
Apply here
SBS
The candidate will be part of the Analytics and Information Management team, which is a global community that is driving data-driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders.
Requirements
- MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute BTech / B.E in Information Technology / Information Systems / Computer Applications
- (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields
- 4 to 7 years of hands-on experience in delivering Analytical solutions, with at least 1 year in Banking Industry
- Knowledge of Basic Statistics and Hypothesis testing
- Basic Knowledge of predictive modelling, Traditional and Machine Learning Algorithms
- Proficient in SAS, SQL, R, Python
- In-depth understanding of Customer Lifecycle Management, Acquisition and
- Preferred – Knowledge of Credit Card PnL, Understanding or Retail Business
Apply here
