Job Description
Expected Joining: January 2026
Your Role:
In the role of Data Science Analyst, you will be an integral part of our dynamic analytics team, working alongside experienced data scientists and business stakeholders to drive data-informed decision-making by extracting insights from complex financial datasets and support the development of predictive models that enhance our products and services.
Required Skills, Qualifications:
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Economics, Engineering, or a related field.
- Basic understanding of statistics, machine learning, and data analysis techniques.
- Familiarity with programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
- Exposure to SQL and database querying.
- Good problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Prior internship or project experience in data science or analytics is a plus.
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data.
- Support exploratory data analysis to identify trends, patterns, and anomalies.
- Help build and validate predictive models using machine learning algorithms.
- Collaborate with cross-functional teams including software engineers, business analysts, and domain experts.
- Contribute to creating data visualizations and reports to communicate findings clearly to technical and non-technical audiences.
- Stay up to date with the latest data science techniques and tools relevant to financial services.
Our Company:
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.
Learn more at iongroup.com.
Responsibilities
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data.
- Support exploratory data analysis to identify trends, patterns, and anomalies.
- Help build and validate predictive models using machine learning algorithms.
- Collaborate with cross-functional teams including software engineers, business analysts, and domain experts.
- Contribute to creating data visualizations and reports to communicate findings clearly to technical and non-technical audiences.
- Stay up to date with the latest data science techniques and tools relevant to financial services.
Requirements
Required Skills, Qualifications:
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Economics, Engineering, or a related field.
- Basic understanding of statistics, machine learning, and data analysis techniques.
- Familiarity with programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
- Exposure to SQL and database querying.
- Good problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Prior internship or project experience in data science or analytics is a plus.
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