Spec Analytics Analyst
at Citi
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
The Spec Analytics Analyst is a trainee professional role focused on analyzing large and complex data sets to evaluate, recommend, and support business strategies. It involves identifying and compiling data sets using tools such as SQL and Access to predict, improve, and measure key business outcomes, and documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including statistical models and data visualization. The role may be referred to as a Data Scientist and can specialize in marketing, risk, digital, or AML fields, with emphasis on risk assessment, compliance, and transparent decision making.
Spec Analytics Analyst
Discover your future at Citi
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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, Access) 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:
- 1-3 years of experience
- Proficiency in coding using Python & Pyspark
- Good understanding of Machine learning concepts and experience in implementing the same in real world problems
- Exposure to Gen AI tools and techniques
- Previous related experience preferred
- 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
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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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.------------------------------------------------------
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