Citigroup, Inc

Senior Data Scientist Vice President

Citigroup, Inc$113K — $170K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field (engineering, Statistics, Economics, Finance, Mathematics) from a premier institute required; advanced degrees preferred.
  • Minimum 5+ years experience in data analysis, data mining, or statistical analysis.
  • Proficiency in Python, SQL, Teradata, RDBMS, and Hadoop/Hive Tools.
  • Experienced with statistical software (Python preferred; SQL and SAS required).
  • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Knowledge of large language models for text analysis.
  • Experience in predictive modeling and machine learning techniques.

Responsibilities

  • Create analytical solutions to mitigate losses using advanced data science techniques.
  • Analyze dark web data to identify and detect emerging fraud trends and high-risk transactions.
  • Leverage AI/ML models for anticipating fraudulent behaviors.
  • Implement AI-powered automation to enhance fraud detection efficacy.
  • Develop and refine data models for proactive account monitoring and risk assessment.
  • Collaborate with threat intelligence teams to integrate external fraud signals into risk models.
  • Generate executive insights and reports utilizing advanced visualization techniques to inform senior stakeholders.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement plan options.
  • Life, accident, and disability insurance.
  • Wellness programs for employee health.
  • Paid time off for vacation, sick leave, and holidays.
Full 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 include:
  • 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 (LLM's) 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


#LI-BS1

Job Family Group:
Decision Management

Job Family:
Business Analysis

Time Type:
Full time

Primary Location:
San Antonio Texas United States

Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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