Job Description
Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Fraud Analytics team in Citi AIM. The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable.
Job Description Summary:
- The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance.
- The individual should be able to work on Logistic Regression/ ML Model development irrespective of development environment regardless of the programming language, provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning solutions
- Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations.
- Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.
- Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
- Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.
- Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value.
- The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed.
Qualifications:
- 8+ years of analytics experience including model development, prior experience in Fraud analytics preferrable
- Good knowledge of Python, SQL, and Big Data. Working knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
- Advanced analytical and business strategy skills
- Effective communication skills
- Ability to present to business partners and/or leaders to gain approvals.
- Project and process management skills
- Excellent written and verbal communications skill
- Experience with a prior focus in financial services analytics.
- Solid organizational skills and ability to manage multiple projects at one time.
- Self-starter who also has a demonstrated ability to work successfully in team environment and drive.
Education:
- Bachelors/University degree or equivalent experience. Master’s degree is preferable.
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Job Family Group:
Decision Management-
Job Family:
Specialized Analytics (Data Science/Computational Statistics)-
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.-
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