Note:
* Candidate Experience level + Years
* Experience should be in Data, not in Computer Vision (Image)
Job Description:
Join our team to redefine the landscape of financial services through the lens of Risk Intelligence Innovation. We're looking for a Data Scientist who is ready to dive into the dynamic fields of digital identity and fraud. Your role will be crucial in shaping the future of these areas.
We are searching for a candidate with extensive experience in managing complex, large-scale projects related to risk intelligence, digital identity, and fraud detection. The role requires collaboration with internal and external stakeholders and high proficiency in communication and teamwork.
You will report directly to the Director of Data Science and play a key role in guiding the development of Client and AI technology within the organization.
Your responsibilities include analyzing complex datasets, designing algorithms and models to detect and prevent financial crimes, and contributing to the design of Client, AI, and Data infrastructure aligned with Risk Intelligence objectives.
The ideal candidate will have expertise in Data Science and Client and AI-related technologies, guiding our development efforts effectively.
This role offers a journey into the future of risk intelligence, where your skills and insights will contribute significantly to our innovative endeavors.
About You – Experience, Education, Skills, and Accomplishments
* Advanced degree in Computer Science, Statistics, Technology, or Engineering, or equivalent work experience.
* Minimum years of industry experience with a proven track record in applying AI, Client, and NLP.
* Excellent programming skills (Python, Java, and R).
* Strong communication & presentation skills: connecting people, gathering data & information across business units, and effectively communicating the story.
It would be great if you have
* Strong understanding of Data Science Theory, LLMs, Client, NLP, and statistical methodologies in data analytics.
* Ability to test ideas and adapt methods quickly, from data extraction to implementation and validation.
* Experience with search engines, web scraping, data classification algorithms, recommendation systems, and relevance evaluation methodologies.
What will you be doing in this role?
* Research and identify AI, LLMs, and Machine Learning (Client) methods and algorithms to solve specific problems within Risk Intelligence.
* Implement these methods and develop test plans to validate and compare approaches.
* Identify new applications of AI, LLMs, and Client in our extensive content and data sets.
* Explore existing data for insights and recommend additional data sources for improvements.
About the team
* This is a new Data Science innovation team within Risk Intelligence Engineering.
* Our engineers use Machine Learning to solve problems throughout the entire Innovation Lifecycle, focusing on new capabilities and approaches.
* Algorithms for fraud detection, risk prediction, and outcome forecasting are key areas of our work.
* We are a global team reporting to the Head of Risk Intelligence in the US, emphasizing openness, collaboration, excellence, and innovation. Creativity and entrepreneurial spirit are highly encouraged.
#J-18808-Ljbffr