Note:
Candidate Experience level + YearsExperience Should be in Data, Not in Computer vision(Image)
JD:
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 who is not only passionate about risk intelligence but also brings a wealth of experience in managing complex, large-scale projects. Your role will involve collaboration with both internal and external stakeholders, demanding a high level of 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 will include the analysis of complex datasets, designing algorithms and models to detect and prevent financial crimes, and contributing to the design of Client, AI and Data infrastructure in line with Risk Intelligence' objectives.
Your expertise in Data Science and Client and AI related technologies will be pivotal in steering the direction of our development efforts.
This role is not just a job, but 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 years of proven track record in the application of AI, Client, and NLP. Excellent programming skills (Python, Java, and R) Good communication & presentation skills: connecting people, gathering data & information across business unit boundaries, and telling & selling the story are no problem for you.
It would be great if you have. . .. Excellent understanding of Data Science Theory, LLMs, Client, NLP, and statistical methodologies in a data analytics environment. Ability to test ideas and adapt methods quickly end to end 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?Researches and identifies Artificial Intelligence (AI), Large Language Models (LLMs) and Machine Learning (Client) methods and algorithms to solve specific problems within Risk Intelligence Implements these methods and devises appropriate test plans to validate and compare the different approaches. Identifies new applications of AI, LLMs, and Client in the context of our extensive sets of content and data. Explores existing data for insights and recommends additional sources of data for improvements.
About the teamThis is a new Data Science innovation team within the Risk Intelligence Engineering function. Our engineers use Machine Learning to solve problems along the entire Lifecycle of Innovation, with a strong focus on new capabilities and approaches to existing problems. Algorithms to detect fraud, predicting risk and outcomes are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world. We are a global team reporting into the Head of Risk Intelligence in the US. The team culture is all about openness & collaboration with a focus on excellence and value adding innovation. We have a tradition of also being a source of innovation ourselves, based on deep domain knowledge, so being creative and entrepreneurial is very much encouraged.
