The Apps Dev Tech Lead analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
- Integrates subject matter and industry expertise within a defined area.
- Contributes to data analytics standards around which others will operate.
- Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
- Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
- Resolves occasionally complex and highly variable issues.
- Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
- Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
- Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets.
- Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management.
- Partner with business stakeholders to translate requirements into analytical and machine learning solutions.
- Design and implement feature engineering pipelines and model evaluation frameworks.
- Collaborate with Data Engineering teams to ensure scalable data pipelines and ML-ready datasets.
- Operationalize machine learning models through production deployment and monitoring (MLOps practices).
- Analyze trends, anomalies, and behavioral patterns using statistical and machine learning techniques.
- Ensure model governance, explainability, fairness, and compliance with regulatory requirements.
- Automate analytics workflows and implement scalable AI-driven solutions.
- Present analytical findings and model insights to senior leadership and cross-functional teams.
- Mentor junior analysts and data scientists on advanced analytics and ML best practices.
- Drive continuous improvement in analytical methodologies, model performance, and reporting standards.
- Influence strategic decisions through data science and AI-powered insights.
- Manage multiple priorities in a fast-paced, highly regulated environment.
Qualifications:
- 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles.
- Advanced proficiency in SQL and relational database concepts.
- Strong programming experience in Python (required); PySpark preferred.
- Hands-on experience building and deploying machine learning models (supervised and unsupervised).
- Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Strong knowledge of statistical modeling, feature engineering, and model validation techniques.
- Experience with BI tools such as Tableau or Power BI.
- Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred.
- Experience working with large-scale enterprise or financial datasets.
- Understanding of data warehousing, ETL, and big data ecosystems.
- Strong problem-solving, analytical thinking, and stakeholder management skills.
- Proven ability to communicate complex AI/ML insights to non-technical audiences.
- Experience in banking or financial services preferred.
Education:
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
- Master’s degree or specialization in AI/ML/Data Science preferred.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location:Irving Texas United States------------------------------------------------------
Primary Location Full Time Salary Range:$125,760.00 - $188,640.00
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.
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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:Jul 23, 2026------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 10-15 years of experience in Data Analytics, Data Science, or Advanced Analytics roles.
- Advanced proficiency in SQL and relational database concepts.
- Strong programming experience in Python.
- Experience with PySpark.
- Hands-on experience building and deploying machine learning models (supervised and unsupervised).
- Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Strong knowledge of statistical modeling, feature engineering, and model validation techniques.
- Experience with BI tools such as Tableau or Power BI.
- Familiarity with MLOps practices (model deployment, monitoring, versioning).
- Experience working with large-scale enterprise or financial datasets.
- Understanding of data warehousing, ETL, and big data ecosystems.
- Strong problem-solving, analytical thinking, stakeholder management, and communication skills.
- Experience in banking or financial services.
- Bachelor's degree or equivalent experience (Master's preferred).
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
