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.
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nResponsibilities:

• nIncumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• nIdentifies 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
• nResponsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• nIncumbents in this role may often be referred to as Data Scientists
• nSpecialization in marketing, risk, digital and AML fields possible
• nAppropriately 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.

nQualifications:

• n5-8 years of relevant experience
• nExperience in developing deep learning architectures from scratch to solve complex predictive/forecasting or recommendation based problems
• nIn depth understanding of fundamental sequence models (like RNN, LSTM, Attention etc.) and ability to drill down to mathematical level for the same
• nMust have fundamental machine learning skills along with advanced skills described above
• nHave the ability to retrieve and manipulate data
• nPossess analytic ability and problem solving skills
• nWorking experience in a quantitative field
• nWilling to learn and can-do attitude
• nExcellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
• nAbility to build partnerships with cross-function leaders

nGood to Have:

• nWorking knowledge of advanced Transformer architectures OR Computer Vision architectures with conceptual/mathematical overview of the same
• nExpertise in PySpark environment and Keras/Pytorch ecosystems for building DL models from scratch

nEducation:

• nBachelors/University degree or equivalent experience

nThis 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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nJob Family Group:n

Decision Management

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nJob Family:

nSpecialized Analytics (Data Science/Computational Statistics)

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nTime Type:

nFull time

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nCiti is an equal opportunity and affirmative action employer.

nQualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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