JOB DESCRIPTION

This is a senior technology role in AI/ML space in a fast-paced delivery organization supporting regulatory compliance. This position is part of AML Global Technology team and will work closely with data scientists, ML professionals, project managers, architecture teams and other stakeholders. The individual will be responsible for design, development and deployment of ML based solutions at an enterprise scale to support business use cases.

The individual should also be able to own projects end to end, provide technical expertise and be responsible for successful execution of the projects running in AML monitoring space.


RESPONSIBILITIES:

- Providing end-to-end solution, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.

- Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights

- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity

- Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics

- Contribute to the team in various aspects knowledge sharing, guidance to more junior members, contribute to shared code library, establish best practices and methodologies.

- Take ownership of your tasks and have end to end responsibility from planning stage to presenting results

- Liaise with Global stakeholders and effectively communicate to be influential within Global AML Landscape.


QUALIFICATIONS:

- At least 8 years of working experience in development with at least 4+ years of relevant experience in developing AI/ML based solutions

- At least 4+ years of hands on data science experience using Python for data analytics, visualization, statistical programming and data mining for problem-solving. Domain knowledge and experience in Banking is a plus

- 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.

- Excellent understanding of data science, machine learning techniques, algorithms and toolkits to develop scalable solutions for production.

- Applied quantitative and statistics skills, such as statistical analysis, distributions, multivariate testing, regression, classification and optimization algorithms etc. to design, test, interpret and explain results

- Familiar with MLOps tools like MLflow or Kubeflow, deep learning frameworks like Tensorflow or Pytorch

- Knowledge in big data systems (Hadoop, Spark, Hive)

- Working experience in Dataiku is an advantage


OTHER SKILLS:

- Excellent communication skills, ability to explain complex technical concepts and analysis implications to varied audiences.

- Ability to translate business objectives into actionable analysis.

- Proven ability to work with teams that are geographically separated

- Should be a self-starter with a high level of initiative.

- Willingness to work late in the evening India time on need basis in order to interact with US onshore team.


EDUCATION:

- Degree in Machine Learning, Computer Science or relevant qualifications suitable for this role


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**Job Family Group:**


Technology

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**Job Family:**


Applications Development

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**Time Type:**


Full time

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Citi is an equal opportunity and affirmative action employer.


Qualified 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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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.