Data Scientist - 990

We are seeking a Data Scientist with 3+ years of experience in Machine Learning and AI product development. Reporting to the Head of Data & Analytics, you will closely collaborate with the data science lead and stakeholders to create interactive data-driven solutions and models that align with business requirements and contribute to ION Analytics' long-term automation and AI roadmap.

       Develop, evaluate, and deploy models using conventional ML and newer LLM techniques.

•         Work collaboratively with the data engineering team to produce required data assets that comply with the existing data lake governance.

•         Actively contribute to app product development, managed through development tickets on GitHub.

•         Translate complex findings and results into a compelling narrative for stakeholders.

•         Promote best practices and help setting up standardised, effective processes to improve the team's work.

•         Provide expertise on statistical analysis, data mining, and data visualization to the team.

•         Actively build knowledge in a range of domains:

•         Commercial: Contracts and client relationships

•         Accounting: Financials of ION and External companies

•         Markets: M&A, LCM and ECM Deals

•         Content: Articles and Journalism

•         Product front end: Functionalities and platform offering

•         Product back end: Usage and other archived information

•         Stay updated with latest AI and Machine Learning developments and adapt to changes quickly.

 

 Required skills, experiences, and qualifications

•         Bachelor degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

•         Proficiency in Python, SQL and experience with Machine Learning libraries. Pyspark knowledge and Databricks experience is a plus.

•         Experience with Azure app services is a plus.

•         Experience with version control using Azure DevOps or GitHub.

•         Deep understanding of Machine Learning algorithms, predictive modeling, and statistical analysis techniques.

•         Experience of agile software development methodologies (Scrum, Kanban etc.).

•         Excellent problem-solving skills, attention to detail, and quality conscious.

•         Strong written and verbal communication skills with the ability to present complex results to non-technical stakeholders.

•         Proactive team player with the ability to work to deadlines and manage expectations.

 

We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we’ve achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world.

•         Over 2,000 of the world’s leading corporations, including 50% of the Fortune 500 and 30% of the world’s central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading and risk.

•         Over 800 of the world’s leading banks and broker-dealers use our electronic trading platforms to operate the world’s financial market infrastructure.

ION is a rapidly expanding and dynamic group with 13,000 employees and offices in more than 40 cities around the globe. Our ever-expanding global footprint, cutting edge products, and over 40,000 customers worldwide provide an unparalleled career experience for those who share our vision.

ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.