Compliance Technology is evolving a sophisticated next generation Global Surveillance Solution 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 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, the team members work with many stake holders including business partners, software developers, product owners and additional teams.

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, 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.

Job Requirements

Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
• Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
• Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
• Leads system change process from requirements through implementation; provides user and operational support of application to business users.
• Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• Performs other duties and functions as assigned.
• 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:

• 5-10 years experience in business and data analysis, process improvement and project management
• 3+ years of experience working in the analytics field
• 2+ years’ professional data science experience
• 2+ years’ experience coding in python for data science related projects
• Knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems
• 2+ years of proficient hands-on coding skills in python
• Experience in querying and manipulating raw datasets for analysis in big data environment
• Understanding of statistics (hypothesis testing, regressions, etc.)
• Experience working independently
• Communicator skills explaining technical concepts and analysis implications to varied audiences
• Ability to translate business objectives into actionable analysis
• Experience with SQL or related query language
• Strong problem-solving skills

Preferred Qualifications

• Proven experience in running end-to-end research POCs from ideas to customer impact solutions including the design, execution, analysis and conclusions of your research, methodologies and outcomes.
• Knowledge in big data systems (Hadoop, Spark, Hive)
• Prior experience working with remote teams in multiple time zones

Education:

• Bachelor’s/University degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or relevant qualifications that can be suitable for this position / 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.