Senior Data Scientist at QuickCheck

for this role include

Utilize machine learning algorithms and statistical models to develop predictive models for credit risk assessment

Collaborate with cross-functional teams, particularly credit risk management and business analysts, to understand business requirements and develop data-driven solutions

Perform root-cause and ad-hoc analyses of large datasets to understand user performance, generate key insights for relevant stakeholders, and drive data-informed decisions related to credit risk factors and customer behavior

Perform exploratory data analysis to identify trends, patterns, and relationships within datasets

Clean, preprocess, and transform data to ensure accuracy, completeness, and suitability for model development and analysis

Evaluate model performance using appropriate metrics and implement model monitoring procedures to ensure ongoing effectiveness

Continuously work on improving methodological choices for the models and be able to clearly communicate its rationale and impact to internal and external stakeholders

Stay abreast of advancements in data science methodologies, tools, and technologies, and incorporate them into projects where applicable

Give input to senior management and business based on data analysis and previous experience

Deliver great presentations and analysis with tools like PowerPoint, Power BI or similar

Be a good communicator and collaborate well with local, regional and global stakeholders

Your profile

Degree in a quantitative field or software development field, including but not limited to mathematics, economics, statistics, data science, software engineering, computer science or similar

5+ years of relevant work experience in data science

Proficiency in SQL, Python, SAS or similar

Experience working with large datasets and developing predictive models

Great analytical and problem-solving skills, with the ability to translate large and complex data into actionable insights

Experience driving deliveries, ideally in an agile environment

Knowledge of credit risk is an advantage

Understanding of technologies and IT solutions used for data processing and analysis

Benefits and perks

Be part of an international team

Modern and cool office, Silicon Valley style 8-)

High degree of autonomy, flat hierarchy, open communication and get shit done attitude

Pension, Life and health insurance schemes

Flexible working hours

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.