Job Description
Finance Jobs. Vyntra Global Jobs
What you will do
Your responsibilities will include (but are not limited to):
- Design and implement advanced analytics approaches, algorithms, machine learning models, and predictive models to solve customer business problems.
- Represent the Data Science team in Proof-of-Concept (PoC), Proof-of-Value (PoV), and other key pre-sales and delivery projects.
- Develop solutions to proactively enhance analytical performance for strategic customers.
- Lead and coordinate a cross-regional Data Science Delivery squad: plan, organize, and allocate operational analytical tasks.
- Stay up to date on recent advances in AI/ML as well as fraud, financial crime, and AML domains.
- Provide third-level support, training, and coaching to Professional Services Consultants and R&D Engineers.
- Contribute to the development of data science libraries, with a focus on supporting Professional Services activities.
Who you are
- PhD or MSc in Data Science, Mathematics, Finance, or a related field.
- 10+ years of experience in applied analytics (machine learning, statistics, data mining, data visualization, data analysis) in a corporate environment, including ideally 5+ years in financial crime prevention or a related domain.
- Strong expertise in Python and its data science libraries.
- Deep knowledge of machine learning, mathematics, and predictive modeling.
- Familiarity with CI/CD principles and tools (e.g., Git) is a plus.
- Excellent communication and collaboration skills.
- Highly proactive and self-driven, with a problem-solving mindset.
- Readiness to travel on business trips if required
Application process
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