Senior Data Scientist Vice President

Citi; San Antonio (TX); On-site; USD 113,840 - 170,760; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident and disability insurance

Wellness programs

Paid time off packages

Job summary

Citi is seeking a Business Analytics Lead Analyst in San Antonio, Texas. The successful candidate will drive analytical solutions across various lines of business using statistical and advanced analytical techniques.

The role involves collaborating with cross-functional teams to develop data-driven solutions and generate insights on fraud detection. A focus on machine learning and financial data analysis is essential. Benefits include medical coverage and 401(k).

Qualifications

• 5+ years of relevant experience in data analysis, data mining, or statistical analysis.
• Working knowledge of Python, SQL, Teradata, and Hadoop/Hive Tools.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.

Responsibilities

• Create analytical solutions to mitigate losses across all lines of business.
• Analyze compromised cards data to identify fraud trends and suspicious patterns.
• Generate executive-level insights using advanced visualization techniques.

Skills

Machine learning

Predictive modeling

Financial data analysis

Python

SQL

SAS

Statistical analysis

Data visualization

Education

Bachelor’s degree in a quantitative field

Tools

Teradata

Hadoop

Tableau

Job description

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB’s utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate with cross-functional teams to develop and implement data driven solutions.

Key Responsibilities

• Role requires creating analytical solutions to mitigate losses across all LOB’s utilizing various statistical/advanced data science techniques.
• Analysis of compromised cards data from dark web to identify emerging fraud trends, detect suspicious fraud patterns, and anomalies, identify high risk merchants, locations and transaction behaviors.
• Leverage AI/ML models (eg anomaly detection, graph neural networks, NLP) to anticipate fraudulent behavior.
• Experience with AI techniques and implement AI powered automation to improve fraud detection efficiency.
• Develop and enhance data models and algorithms to identify high risk accounts for proactive monitoring and closure. Additionally, assess the impact of compromised cards on fraud losses, use statistical analysis to quantify risk exposure and identify abnormal spending patterns.
• Collaborate with threat intelligence teams to incorporate external fraud signals into risk models. Identify fraud rings, mule accounts, synthetic identities by linking compromised data to existing customer portfolios.
• Generate executive level insights and reports for leadership team using advanced visualization techniques and provide regular updates on fraud trends and emerging threats. Provide actionable insights to senior global stakeholders by leveraging data analytics and reporting.
• Lead POC’s with new vendors, evaluating fraud detection tolls, data enrichment platforms and dark web monitoring solutions.
• Perform ad-hoc analysis on large, unstructured datasets (eg transaction logs, dark web feeds) to identify fraud indicators. Use Python, SQL and SAS to extract, transform and analyze complex datasets.
• Manage significant fraud events by helping coordinate information sharing across financial crime and fraud prevention Org. Partner with various cross-functional teams such as Fraud Policy, Analytics & Modelling, Security Operations Center to help design intelligence derived solutions to detect fraud.
• Collaborate with fraud analytics modelling function to understand new fraud detection capabilities, develop new analytical solutions leveraging unstructured data sets and variables.

Job Skills / Qualifications

• Bachelor’s degree in engineering, Statistics, Economics, Finance, Mathematics or a related quantitative field from a premier institute required. (Master's degree not required but beneficial)
• Minimum 5+ relevant experience in data analysis, data mining, or statistical analysis.
• Must have a working knowledge of Python, SQL, Teradata, RDBMS, Hadoop/Hive Tools.
• Experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Preferred), SQL, SAS (required)
• Experience with AI/ML Frameworks (eg TensorFlow, PyTorch , Scikit-learn)
• Knowledge of Large language models (LLMs) for text analysis and Fraud Intelligence
• Experience in Predictive modeling, statistical analysis and machine learning techniques.
• Ability to analyze large -scale, unstructured data and generate actionable insights
• Familiarity with digital fraud detection tools and experience working with cybersecurity datasets and threat intelligence platforms.
• Prior experience in developing dynamic dashboards using visualization tools such as Tableau.
• Data Science work in any risk domain will be preferable.
• Experience in identifying fraud patterns in large consumer banking portfolios.
• Successful candidate will have a demonstrable analytic, problem solving, and leadership skills, and has the ability to deliver projects in a fast-paced environment.
• Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns, trends and insights, and perform risk/reward trade-off;
• Ability to effectively collaborate with cross-functional partners and management
• Solutions-oriented 'can do' attitude, with ability to drive innovation via thought leadership while maintaining end-to-end view.
• Extremely detail-oriented, with strong, intellectual curiosity. Ability to effectively multi-task and work in a fast-paced and evolving environment, while setting meeting high standards

Location and Compensation

Primary Location: San Antonio, Texas, United States

Salary Range: $113,840.00 - $170,760.00

Benefits

• Medical, dental & vision coverage
• 401(k)
• Life, accident and disability insurance
• Wellness programs
• Paid time off packages, including vacation, sick leave and paid holidays

Equal Opportunity Employment

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.

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