Senior Data Scientist at SeedStars Academy

Seedstars is a global organization with headquarters in Switzerland and a presence in 60+ emerging markets. We are on a mission to impact people's lives in emerging markets through technology and entrepreneurship. Our initiatives are focused on connecting stakeholders within these ecosystems, building tech companies from scratch and investing in the top entrepreneurs.

We are recruiting to fill the position below:

Job Title: Senior Data Scientist

Location: Lagos
Job Type: Full Time

About the Job

• QuickCheck is seeking to hire a 'hands-on' data scientist.
• The job provides an exciting mix of challenges, where different areas of knowledge and skills shall be employed: developing advanced statistical models, working with big data, analysing economic behaviour, understanding, and abiding to regulatory constraints and further, to explain complex models to stakeholders on all levels across the company.
• You will join a highly professional and dedicated team with direct impact in the outcome of the company and with excellent opportunities for personal and professional development.
• Compliance and integrity go hand in hand. Joining us means you’ll have an impact on how we do business - today and tomorrow. So, bring your ideas, skills, and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.
• Being part of the Risk Team, you will help ensure that compliance underpins every decision we make and every action we take. By bringing your perspectives to the team and through your focus on quality and cooperation, you will be important.

Responsibilities

• 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

Requirements

• 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

• 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

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should:
Click here to apply online