Data Scientist at JUMO.WORLD

About this job

As a Data Scientist you will have exposure to many aspects of the business, and make direct impact to the bottom line. You will be accountable for interfacing with various teams throughout the business to derive a deep understanding of underlying phenomena that impact portfolio performance, develop better features to improve the performance of our predictive models, and better understand the links between client interventions and behaviour. You will also innovate to improve processes, algorithms, methods, product constructs, designs, and analyse experiments to learn about our clients and explore opportunities for portfolio improvement such as growth, stability, and revenue. You will report to the Data Science Lead.   

You will 

• Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights. 
• Translate the data into strong visualisations, dashboards and graphs that can be easily understood by individuals with varying levels of domain knowledge and technical expertise (for example fellow analysts or CEOs). 
• Design optimisation algorithms to best apply our prediction models to our portfolios.
• Design allocation algorithms to optimally match our loan customers with funding partners.
• Develop experiments that explore aspects of our portfolios and products to allow us to learn and improve. Document and simplify the insights obtained from analysis so that they can be cited, and re-used by anyone in the business to build and improve our foundation on which we perform data driven decision making. 
• Automate analytics tasks to help us improve productivity and set ourselves up for scale. 
• Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience. 
• Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations. 
• Derive and communicate insights to our stakeholders. 

You will need

• A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, etc.)
• Minimum 2 years of experience filling a similar role in Finance & Technology.
• Strong data wrangling skills using SQL and coding in python.
• Experience working in fintech, specifically with lending products.
• An ability to interpret problems, and simplify them to their essentials.
• The desire to innovate, be creative and work on challenging problems.

About this job

As a Data Scientist you will have exposure to many aspects of the business, and make direct impact to the bottom line. You will be accountable for interfacing with various teams throughout the business to derive a deep understanding of underlying phenomena that impact portfolio performance, develop better features to improve the performance of our predictive models, and better understand the links between client interventions and behaviour. You will also innovate to improve processes, algorithms, methods, product constructs, designs, and analyse experiments to learn about our clients and explore opportunities for portfolio improvement such as growth, stability, and revenue. You will report to the Data Science Lead.   

You will 

• Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights. 
• Translate the data into strong visualisations, dashboards and graphs that can be easily understood by individuals with varying levels of domain knowledge and technical expertise (for example fellow analysts or CEOs). 
• Design optimisation algorithms to best apply our prediction models to our portfolios.
• Design allocation algorithms to optimally match our loan customers with funding partners.
• Develop experiments that explore aspects of our portfolios and products to allow us to learn and improve. Document and simplify the insights obtained from analysis so that they can be cited, and re-used by anyone in the business to build and improve our foundation on which we perform data driven decision making. 
• Automate analytics tasks to help us improve productivity and set ourselves up for scale. 
• Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience. 
• Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations. 
• Derive and communicate insights to our stakeholders. 

You will need

• A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, etc.)
• Minimum 2 years of experience filling a similar role in Finance & Technology.
• Strong data wrangling skills using SQL and coding in python.
• Experience working in fintech, specifically with lending products.
• An ability to interpret problems, and simplify them to their essentials.
• The desire to innovate, be creative and work on challenging problems.

Bonus if you have 

• Experience in applied statistics.
• Experience in communicating complex concepts simply and clearly.
• Experience using tools such as Tableau and or Superset.
• Experience with developer tooling such as Github and cloud computing.
• A masters degree and/or conference publications.