Spec Analytics Intmd Analyst

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. About CITICiti's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.Analytics and Information Management (AIM)Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It 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 in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.What do we do?The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.Role DescriptionThe role will be Spec Analytics Intmd Analyst in the Data Science and Modeling of North America Consumer Bank teamThe role will report to the AVP / VP leading the teamWhat do we offer: The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work:Role Expectations:Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey.Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team.Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.Strong project management skills.Ability to coach and mentor juniors.Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.Role Responsibilities:Incumbents are required to work with large and complex data sets using a variety of tools (Python, PySpark, SQL, R etc.) to build modeling solutions for various business requirementsPrimary focus areas would be Model building, model validations, model implementation and model governance related responsibilities for multiple portfoliosResponsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniquesIncumbents in this role may often be referred to as Data ScientistsSpecialization in marketing, risk, digital and AML fields possibleThe analyst will work with other members in the team and business partners to jointly build model driven solutions using traditional methods (Linear, Logistic, Segmentation etc.) as well Machine Learning driven modeling solutionsWork with model governance & fair lending teams to ensure compliance of models in accordance with Citi standardsAppropriately assess risk when business decisions are made, demonstrating 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 transparencyWhat do we look for:If you are a bright and talented individual looking for a career in AIM, Citi has amazing opportunities for you.Bachelor's Degree with 8+ years of experience in data analytics, or Master's Degree with 5+ years of experience in data analytics, or PhD.Technical SkillsHands-on experience in PySpark/Python/R programing along with strong experience in SQL.5-8 years of experience working with machine learning and statistical modeling techniques.Understanding around deep learning techniques.Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.Strong background in Statistical Analysis.Capability to validate/maintain deployed models in productionSelf-motivated and able to implement innovative solutions at fast paceExperience in Machine Learning software frameworksExperience in Credit Cards and Retail Banking is preferredCompetenciesStrong communication skillsMultiple stake holder managementProject ManagementStrong analytical and problem solving skillsExcellent written and oral communication skillsStrong team playerControl orientated and Risk awarenessWorking experience in a quantitative fieldWilling to learn and can-do attitudeAbility to build partnerships with cross-function leadersEducation:Bachelor's / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier instituteOther DetailsEmployment: Full TimeIndustry: Credit Cards, Retail Banking, Financial Services, Banking 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.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.