Senior Data Scientist

RESPONSIBILITIES

• Manage large portfolios of micro-loans with the use of advanced algorithms and analytics to optimize profits
• Develop and deploy advanced credit risk models and algorithms
• Design, develop and implement scorecards for nano- and micro-finance
• Analyze large data volumes to identify credit risk factors
• Develop strategies for credit risk management and revenue maximization
• Transfer knowledge on credit risk model development and management
• Perform sanity checks in large scale volumes of pre-processed and post-processed data.
• Research, analyze and document data elements that are missing and/or reported as inaccurate by our clients. Determine course of action for resolution using independent thought and judgment
• Analyze data to identify data anomalies, conducting root cause analysis to determine the reason for inaccuracies
• Testing of Risk Models and various algorithms used in Credit Risk Assessment.
• Automate testing procedures.
• Document and track production problems, processes, procedures and changes within the data amendment activity.

Senior

REQUIREMENTS

• BSc and MSc in Mathematical Sciences, Computer Science or Finance from an accredited institution.
• Minimum of 3 years’ experience in a related role (e.g. data scientist or credit risk analyst/manager).
• Strong analytical skills, evidence of statistical/machine learning models and algorithms development.
• Hands-on experience at least in two of the following (with descending significance):
• Credit risk model development and deployment
• Credit risk management
• Risk analytics
• Profits Optimization
• Machine learning
• Ability to set-up, organize and monitor pilots for testing and comparing risk models
• Experience in and ability to gain risk insights analyzing large volumes of data.
• Passion for learning new technologies and eagerness to collaborate with other creative minds
• Strong desire for exploring, evaluating and understanding new technologies
• Ability to hit tight deadlines and work under pressure and strict attention to detail
• Excellent judgment, organizational and problem-solving skills
• Strong interpersonal and communication skills
  

Additional requirements (will be considered a plus):

• PhD in Mathematical Sciences, Computer Science or Finance from an accredited institution.
• Hands-on experience on big data processing and analytics.
• Creative skills
• Programming skills

• Competitive salary
• Bonus based on performance
• Family health insurance
• Modern work atmosphere
• An interesting job in a high-tech company
• Continuous development of your technical skills
• Opportunities to work in international and multicultural environments
• Supportive & Cohesive Teams
• Fitness Center membership
• Teambuilding events
• Cafeteria with complimentary food and beverages
• Fun work environment
• Countless Opportunities

Senior Data Scientist is significant contributor of S***** data driven automated decision making, risk management and profits optimization. He/she has extensive experience with credit and profit scoring, the development and deployment of advanced algorithms, and the day-to-day risk management of large portfolio of loans. He/she has the capability to perform advanced risk analytics, designs and develops statistical and machine learning algorithms for credit issuance and risk management, and operationalize them in the daily risk management activities of large portfolios with the aim to optimize profits.