Job Purpose:

The role requires a strong team player who can use state of the art methods to analyse data for our consumer bank enabling us to make smarter decisions, deliver better products and provide remarkable customer service, ultimately to increase new customer acquisitions and also improve existing customer product usage and cross sell. Successful candidate will be critical in helping to unlock potential through converting results into meaningful actions.

Job Background/context:

The Citi Decision Management team is a global community that objectively connects and analyses information, to create actionable intelligence for our business leaders. This fast-paced role identifies fact based opportunities for revenue growth in partnership with the businesses. This advanced function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, cutting-edge tools, advanced analytics and statistical modelling. Key focus areas include web analytics, digital lead generation and conversion, campaign tracking and big data analytics.

The Data Science and Modeling Analyst will work within the Middle East decision management analytics team, to support next generation activities on data mining which include but are not limited to Big data, advanced analytics, machine learning and artificial intelligence. In addition to these technical elements of the role, the incumbent will also provide significant expertise on business drivers, financials, credit risk management and risk-revenue trade off.

Key Responsibilities:

• Use Machine learning / Statistical techniques to manipulate and analyze large sets of customer data and produce actionable insights
• Work on projects that promote data based decision across business strategy, product design, campaign management and customer service
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Taking ownership of data extraction, processing, cleansing, and verifying the integrity of data used for analysis
• Developing dashboard reports, understanding project objectives and requirements, and working with databases
• Understand business priorities and work out data driven solutions, create significant value addition
• Proactively seek out best practices and adopt the same in day to day functioning
• Leveraging strong proprietary digital platforms and partnerships of Citi, with heavy footfall into the website, mobile application and social media sites, to increase conversions and bookings through analytical techniques and propensity modeling
• Incorporate learnings from past campaigns into future campaigns, by providing timely and comprehensive campaign intelligence
• Hypothesis generation creating a constant test cycle for the business with the primary end goals being to increase new to bank customer acquisitions, credit card usage of existing customers and cross sell of new products to the existing base, in that order
• Prepare financial projections related each initiative in order to measure the bottom-line impact at a customer and at a project level
• Expand Citi’s prospect base across asset and liability products
• Assess the credit risk aspect of each business initiative driven/supported by DM

Development Value:

• This is an amazing opportunity to learn the whole spectrum of GCB sales and products with the added advantage of analytics coverage/exposure that is a primary in this role. This role offers an opportunity to work on best-in-class products and provide services to our customers by leveraging Citi's unparalleled global network thereby enabling you to grow a great career

Qualifications

Knowledge/Experience:

• At least 3-5 year experience in data science
• Good applied statistics skills, such as distributions, statistical testing, regression
• Experience in PandL drivers and Financials
• Experience in Credit, Collections and Risk Analytics
• Scorecard development and modeling
• Experience in Credit Cards and Personal loans preferred

Skills:

• Excellent understanding of machine learning techniques and algorithms
• Proficiency in data visualization and scripting / programming languages - SQL/SAS/SQL/R/Python
• Exposure to Hadoop / NoSQL databases preferred
• Digital marketing
• Financial projections and PandL preparation
• Advanced Excel usage

Qualifications:

• Bachelor's degree in Statistics, Finance, Math, Operations Research or other related fields, where Master’s degree in any of these fields is preferred

Competencies:

• Excellent verbal and written communication skills and the ability to interact professionally with non-technical partners
• Self-motivated individuals who are independent and a self-starter and comfortable in a fast-paced environment
• Ability to work in teams and in fast paced environments, multitask and respond in short timeframes
• Demonstrate a proactive learning attitude along with a structured thought process

Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.

Valuing Diversity:

Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organisational success.

Citi is an Equal Opportunities Employer