Tarfin
Jr. Data Scientist
TarfinTurkey8 hours ago
Full-timeEngineering, Information Technology

We are looking for a Junior Data Scientist at Tarfin who is eager to learn, highly motivated, and passionate about data.

The ideal candidate is curious, analytically minded, and excited to grow in a fast-paced fintech environment. If you enjoy solving complex problems, thinking critically, and continuously improving your technical skills, we would love to hear from you.


The role

We use mathematical models to provide our farmer customers with the most competitive and convenient financing terms. You’ll be responsible for helping with developing predictive models and analyses that run our receivable risk engine, fraud detection systems, pricing, and portfolio risk diversification algorithms. We expect Tarfin’s data scientists to research, develop and apply advanced modeling and statistical techniques to help thousands of farmers instantly save money on their farm inputs purchases. The ideal candidate is expected to have proficiency in Python.


What we focus on

With our data science team, we develop decision-making models that measure real-time, micro and macro-scale risk in the field of finance. 

Our main applications areas and projects;

  • Credit Risk Modelling 
  • Probability of Default and Risk Estimation
  • Forecasting
  • Reject Inference
  • Fraud/Anomaly Detection 
  • Variable Pricing
  • Portfolio Risk Diversification
  • Collection Scoring


Qualifications

  • Deep understanding of statistical and machine learning models and proven experience with applying models to data science problems
  • Strong knowledge of SQL
  • Solid programming skills in Python
  • Data preparation, modification, analysis and reporting to business units
  • Familiarity with data visualization tools (matplotlib, seaborn, ggplot2 etc.)
  • Being a team player


Nice to have

  • 0-2 years of professional experience
  • Experience in credit risk modeling 
  • Experience in risk management 
  • Familiar with AWS
  • Familiar with BI Tools (Power BI, Tableau)


About You

  • Passionate about the latest technologies, strong academic mentored literature review, and extensive research platforms
  • Celebrating your successes learning from your failures
  • Encouraging creative thinking and excited to build new models by developing new approaches
  • Deeply enjoys spending time with machine learning and data science projects
  • A great communicator, has an excellent analytical perspective and is prone to teamwork


Why this job is exciting

Tarfin’s data science team researches, develops and applies advanced modelling and statistical techniques to help thousands of farmers access to their products and instantly save money on their purchases. You will be part of our data team and develop models and analyses that run our risk, fraud, pricing, optimization, and behavior engines.

You will be analyzing large sets of data, coming up with actionable insights. You will also be expected to utilize data mining techniques for exploration and visualization for reporting and analytical purposes. You will be working with outside partners Asst. Prof. Mustafa Baydogan from Bogazici University.

By joining the Data Science team, you will be a partner in Tarfin's growth story and you will gain an experience that makes a difference with the responsibilities you take.

Would you like to take a look at how the first six months will go?

In a month;

  • A good start by meeting all the teams with a planned orientation
  • Experiencing Tarfin's perspective and the positive impact it has had on the industry
  • Knowing that you are an important part of the team and sharing your ideas
  • Obtaining details about carried out and developed projects


Within three months;

  • Become an effective communicator within the team
  • Better understanding of projects and taking responsibility
  • Creating your initial models and products by taking responsibility in the projects carried out


Within six months;

  • Become a solid member on the Tarfin data science team
  • Increasing your influence on models and perspectives
  • Develop deep domain knowledge and strong ownership of the data


Key Skills

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