Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
About the role
- Quantitative Risk Data Scientist developing algorithmic solutions for revenues optimization in fintech industry. Collaborating on risk management strategies and predictive modeling with advanced data analytics.
Responsibilities
- Design and implement algorithmic solutions for revenues optimization though credit risk analysis.
- Deliver credit-risk insights through big data risk analytics.
- Development and implementation of portfolio risk assessment tools and procedures to monitor and manage credit risk.
- Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
- Identify and evaluate credit risk factors using advanced computational methods on large datasets.
- Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
- Collaborate closely with data scientists and data & machine learning engineers.
- Continuously refine and improve risk assessment methodologies to align with evolving market conditions.
Requirements
- Bachelor’s or master’s degree in data science, Statistics, Finance, Mathematics, or a related field.
- Proven experience (2-5 years) in quantitative risk analysis, preferably within the financial services sector.
- Expertise in developing and implementing algorithmic models for revenue and risk optimization.
- Strong proficiency in statistical modeling, with experience in machine learning models.
- Proficiency in programming languages such as Python or R, with extensive experience in big data risk analytics.
- Demonstrated ability to develop and implement portfolio risk assessment tools.
- Strong problem-solving skills and attention to detail in analyzing complex data sets.
Benefits
- Flexible hybrid working
- Competitive remuneration package
- Extra day off on your birthday
- Performance-based bonus scheme
- Comprehensive private healthcare insurance
- All the tech gear you need to work smart
- Be a part of a multicultural working environment
- Meet a very unique and promising business and industry
- Gain insights for tomorrow market’s foreground
- A solid career path within our working family is ready for you
- Continuous training and access to online training platforms
- CSR activities and festive events within any possible occasion
- Enjoy comfortable open space restaurant with varied meal options every day
- Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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