Job Description:
- Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as fraud risk specialist. In this role, you will be tasked prevent fraud losses by designing and developing NextGen advanced intelligent AI ML based platforms.
Primary Responsibilities Include:
- A candidate is keen to work on various tools and technologies for successful implementation of ML models on different platforms.
- Candidate must provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning solutions that meet and exceed expectations.
- Must have the knowledge to work on ML Model development irrespective of development environment regardless of the programming language.
- Have extensively worked on advanced programming language & databases (SQL, PostGre, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark
- Communicate complex analytical concepts and results to both technical and non-technical audiences including MRM
- Identify opportunities to enhance the organization’s data science capabilities and contribute to the development of data and modeling strategy.
Job Skill / Qualifications:
- Minimum 5 years of experience in core model development using AI/ ML techniques.
- Sound knowledge of model development stages and industry best practices in real time deployment as well as fraud loss mitigation strategy development
- Strong coding skill with experience working with Bigdata environments, intellectual curiosity to stay abreast of technological and data sciences advances.
- Working knowledge of the pros, cons, and usage of various AI/ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
- Good knowledge of Python, SQL, and Big Data
- Have clear and concise written and verbal communication.
- Excellent presentation skill to eloquently explain and drive the agenda.
- Ability to manage multiple initiatives simultaneously.
- Successful candidate will have a demonstrable analytic, problem solving and leadership skills, and has ability to deliver projects in a fast-paced environment.
Education –
- Bachelor’s or master’s degree in Engineering / Technology from reputed institute.
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Job Family Group:
Decision Management
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Job Family:
Specialized Analytics (Data Science/Computational Statistics)
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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