Position: Decision Scientist
Location: Dar es Salaam, Tanzania
Overview
As
Decision Scientist you will be accountable for developing
fit-for-purpose predictive and affordability models, execute and
maintain existing models and analyse our markets to determine the most
effective way to increase financial inclusion whilst minimising our
credit risk exposure. You will be based in Dar Es Salaam and will report
to the Intl. Decision Science Team lead who is based in London. You
will be situated in both the Jumo World office as well as our partners’
offices.
If you join us, you’ll
•
Use an agile approach to determine the best use of data to develop
predictive models and perform analysis in line with business
requirements (e.g. credit scoring; customer acquisition; segmentation;
social network analysis; etc.)
• Develop data processes to mine value from a variety of data sources that include high-volume, transactional-level data.
• Provide analytical support to various other business teams
• Perform credit scoring for various business teams
•
Collaborate with system developers, data engineers, and data architects
where necessary to facilitate data analysis and credit scoring.
What you’ll need
• Experience in statistical model development
• Experience in mining and extracting valuable information from large data sets
•
At least 3 years experience with financial and or Telco (e.g. GSM,
IEMI, Wallet, etc.) data, preferably with a focus on the credit life
cycle.
• Knowledge of programming tools enabling types of analysis/modelling described above
We’re looking for someone who has
•
A postgraduate degree, Honours, Masters or Phd degree in Mathematics,
Statistics or similar. Background in Finance, Economics or similar.
• Honours and Statistics: machine learning; statistical modeling, supervised learning (e.g. deep learning, decision trees, random forests, SVM, logistic regression, etc.); unsupervised learning (e.g. clustering, PCA, k-means, dimension reduction);
• Programming and Database: computer science fundamentals, scripting language, e.g. Python; Stats languages and/or packages, e.g., R, SAS; relational databases: SQL and NoSQL, Oracle;
• Communication and Visualization: Ability to relay complex concepts; storytelling skills; translate data-driven insights into decisions and actions; Python and R visualization packages; knowledge of other visualisation tools, e.g. Tableau is advantageous.
• Domain knowledge and soft skills: Passionate about the business; curious about data; influence without authority; problem solver; strategic, proactive, creative, innovative and collaborative
• A mixture of multidisciplinary skills ranging from an intersection of computer science, mathematics, statistics, communication and business.
• The ability to work independently.
Bonus if you have
• Experience in credit scorecard development
• Experience in machine learning algorithms, e.g. SVM and Neural Networks
• Experience with Apache Spark
• Experience with cloud environments, like AWS or GCP
We ask a lot of each other at JUMO, but we give a lot too.
Things you’ll love
• Collaborating with smart, engaging people in an inspiring office space
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate uncharted territory
• Solving stimulating challenges alongside international teams
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies
• Honours and Statistics: machine learning; statistical modeling, supervised learning (e.g. deep learning, decision trees, random forests, SVM, logistic regression, etc.); unsupervised learning (e.g. clustering, PCA, k-means, dimension reduction);
• Programming and Database: computer science fundamentals, scripting language, e.g. Python; Stats languages and/or packages, e.g., R, SAS; relational databases: SQL and NoSQL, Oracle;
• Communication and Visualization: Ability to relay complex concepts; storytelling skills; translate data-driven insights into decisions and actions; Python and R visualization packages; knowledge of other visualisation tools, e.g. Tableau is advantageous.
• Domain knowledge and soft skills: Passionate about the business; curious about data; influence without authority; problem solver; strategic, proactive, creative, innovative and collaborative
• A mixture of multidisciplinary skills ranging from an intersection of computer science, mathematics, statistics, communication and business.
• The ability to work independently.
Bonus if you have
• Experience in credit scorecard development
• Experience in machine learning algorithms, e.g. SVM and Neural Networks
• Experience with Apache Spark
• Experience with cloud environments, like AWS or GCP
We ask a lot of each other at JUMO, but we give a lot too.
Things you’ll love
• Collaborating with smart, engaging people in an inspiring office space
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate uncharted territory
• Solving stimulating challenges alongside international teams
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies
