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Senior Data Scientist, VP #Jersey City, New Jersey #ITJobs

Company: Citibank
Location: Jersey City
Posted on: July 14, 2019

Job Description:

Senior Data Scientist, VP-******** Description About Citi Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi's Mission and Value Proposition explain what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all. Job Summary: - The Citi Private Banking (CPB) Data, Reporting & Analytics group is beginning a multi-year effort to reengineer the data flows from front-to-back to support the business strategy focusing on our global clients and enabling rapid innovation. The candidate will contribute to the platform's Analytics solutions, designing and developing the CPB calculation framework and core analytics. - The candidate will work closely with bankers, quantitative analysts, and other business and IT teams to turn data into insights that can be used to make sound organizational decisions. They need to be creative thinkers and propose innovative ways to look at problems by employing the latest techniques (exploratory data analysis, predictive modelling, supervised/unsupervised machine learning, deep learning/neural networks). They will need to validate their findings using an experimental and iterative approach. - The candidate will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts. These professionals will need a combination of business focus, strong analytical and problem solving skills and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project. Excellent written and communications skills to report back the findings in a clear, structured manner are required. Job Background/Context: - The position is based in Jersey City, NJ reporting to the Head of Data Services, Reporting & Analytics also based in Jersey City - As part of large, geographically distributed team(s), the candidate will manage stakeholders across multiple functional areas - The position requires analytical skills in order to filter, prioritize and validate potentially complex material, technical or business or otherwise, from multiple sources - Formulate business ideas in quantitative, statistical, mathematical or machine learning terms. Understand our data and apply techniques for feature engineering and selection. - Collaborate with data science practitioners across Citi's Institutional Clients Group and Global Consumer Bank. Design and drive development of core data analytics stack in CPB's new strategic data platform. - Work closely with product owners to develop client solutions for new and existing channels - Grow our catalogue of common assets, such as code templates, libraries, utilities, services, etc. Key Responsibilities: - Designs experiments, test hypotheses, and build models - Formulate business ideas in quantitative, statistical, mathematical or machine learning terms. Understand our data and apply techniques for feature engineering and selection. - state-of-the-art machine learning techniques to financial data, including model selection, training, testing and validation - Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions - Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media. - Collaborates with business subject matter experts to select the relevant sources of information - Works with IT teams to support data collection, integration, and retention requirements based on the input collected with the business - Solves client analytics problems and communicates results and methodologies, working iteratively with IT and the client and validates findings - Develops experimental design approaches to validate finding or test hypotheses - Validates analysis by comparing appropriate samples and employs the appropriate algorithm to discover patterns - Assesses, with the business, the expected qualification and assurance of the information in support of the use case - Defines the validity of the information, how long the information is meaningful, and what other information it is related to - Works with the data steward to ensure that the information used is in compliance with the regulatory and security policies in place Qualifications Skills Required: - Bachelor degree in mathematics, statistics or computer science or related field; Master degree preferred - Typically requires 3-5 years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques - The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets - Strong programming skills (Python, Spark, Scala), and statistical modeling (R, SAS) - Experience using machine learning and neural network algorithms - Proficiency in the use of statistical packages (NumPy, SciPy, Matplotlib, Pandas, Scikit-Learn, etc.) - Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms - Strong communication and interpersonal skills Preferred Skills: - Experience in the financial services industry with a focus on Private Banking/Wealth Management - Experience with business intelligence tools (Tableau, QlikSense, Spotfire, Cognos, Microstrategy, Business Objects) - Experience with search solutions (ElasticSearch, Lucene, Solr, Attivio) - Experience with CI/CD build pipelines and toolchain - Git, BitBucket, TeamCity, Artifactory, Jira - Experience with testing concepts (TDD, BDD) and frameworks (Cucumber, Selenium, FluentLenium, Junit) - Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos) Qualification: - Bachelor's degree (in in Math, Economics, Computer Science, Statistics or equivalent); Graduate or Postdoctoral EEO Statement: Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity Pay Transparency: Citi won't discriminate against anyone for discussing pay, but those with access to pay data in their work can't disclose it unless responding to complaints/investigations or legal requirements.

Keywords: Citibank, Jersey City , Senior Data Scientist, VP #Jersey City, New Jersey #ITJobs, Executive , Jersey City, New Jersey

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