Company Name:-
Citi

Job Location:-
New York, NY

Job Summary:-
Job Overview
Compliance Technology is evolving a sophisticated next generation Global Surveillance Solution (TotalConduct) which works towards understanding and detecting risky behavior by evaluating the firm’s E-Mail and Chat communications.

The Data Science team performs research, develops new features and uses various modeling techniques to improve the quality of the models detecting risk.

The team perform complex analytical tasks that require deep understanding of the data and the its quality.

As part of their work, team members work closely with many stake holders including business partners, software developers, product owners and additional teams.

Responsibilities
As a Data Scientist on the team, you will take part in the development of our models and tools to expand and improve the risk coverage we provide.

In addition, the team is in charge of providing meaningful insights on the data to our clients by performing complex analysis on big data.

Your daily work will include data extraction in our big data environment, analysis, enhancement of our existing tools and models and as well as creation of new models, according to our client’s needs and requirements.

You will be responsible for end-to-end projects, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.

Our team includes junior and more senior members, and we value mutual help and involvement in team’s work.

You will be expected to contribute to the team in various aspects – knowledge sharing, guidance to more junior members, contribute to our shared code library, establish best practices and methodologies.

We work in agile methodology and aim to have short and well-defined iterations with good documentation of experiments and new developments.

Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights
Break apart problems, providing insights into your recommendations and findings to both technical and non-technical partners
Collaborate within the team, and with our global engineering, BI and product teams
Generate and test hypotheses,

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