Vice President

Whether you're at the start of your career or looking to discover your next adventure, your story begins here.  At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks.  We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning.  You'll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

We're currently looking for a high caliber professional to join our team as Vice President - Data Scientist _Fraud Analytics- Hybrid. (Internal Job Title: Vice President - C13) based in Pune - India.  Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.  For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.

• We empower our employees to manage their financial well-being and help them plan for the future.

• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.

• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

In this role, you're expected to:

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.

AIM Fraud analytics team is seeking an experienced and innovative Data Scientist as an individual contributor to join our Fraud Modeling team to transform fraud detection and prevention. As a subject matter expert in data science, you will be responsible for the development and deployment of cutting-edge data science solutions that enhance fraud detection and reduce false positives.

Responsibilities:

• Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation.

• Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness.

• Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies.

• Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes

• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique.

• Specialization in fraud or risk domain preferred

• 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.

Experience:

• 10+ years of hands-on analytical experience

• 7+ years' experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS

• Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods

• Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms

• Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.

• Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc.

• Familiarity with regulatory requirements and guidelines related to risk model validation.

• Strong communication and interpersonal skills; experience with Stakeholder management

• Strong project management and organizational skills; ability to multi-task and meet deadlines.

• Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues.

• Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage.

• Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude.

Education:

• Master's/Bachelor's/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute 

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today

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.

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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