City hiring Data scientist (Python, SQL)

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Job Overview

The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

Responsibilities:

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. SQL, Python) 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 techniques

Incumbents in this role may often be referred to as Data Scientists

Specialization in marketing, risk, digital and AML fields possible

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.

Qualifications:

Previous related experience of 1-2 years is preferred

Have the ability to retrieve and manipulation data

Working experience in a quantitative field

Experience with tools like python, SQL is must, pyspark is good to have.

Possess analytic ability and problem solving skills

Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

Education:

Bachelors/University degree or equivalent experience