Senior Data Scientist - Belfast - VP

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

Role 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 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 responsible for 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 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 collaboration. You will be expected to contribute to the team in various aspects including knowledge sharing, guidance to more junior members, contributing to our shared code library and establishing 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 with our global engineering, BI and product teams
• Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity.
• Document projects including the business objectives, the data gathering and transformation processes, experimental approaches, the final algorithm, and detailed set of results and analytical metrics.
• Develop an in depth understanding of our data, model and goals.
• Work with our business partners and clients to understand their needs and priorities.
• Become familiar with our big data environment and data extraction methods.
• Be the owner of your tasks. Have end to end responsibility from planning stage to presenting results.

Required Qualifications:

• Extensive years in Analytics/Developmentor Statistics working in the analytics field or PHD in these fields.
• Proven professional data science experience.
• Experience of proficient hands-on coding in python for data science related projects.
• Deep knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems.
• Experience in querying and manipulating raw datasets for analysis in big data environment.
• Understanding of statistics (hypothesis testing, regressions, etc.)
• Experience working independently.

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

• Degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or relevant qualifications that can be suitable for this position.
• 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.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What we Offer:

As well as a competitive salary and consideration for a yearly discretionary bonus Citi offer;

• 23 days paid annual leave
• Award winning pension scheme,
• Life assurance and
• Private medical insurance with Bupa healthcare.