Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
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
AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.