| Job Title: |
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Data Scientist (Risk Analytics / Modeling) |
| Total Positions: |
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1 |
| Job Location: |
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Lahore |
| Gender: |
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No Preference |
| Minimum Education: |
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Bachelors |
| Degree Title: |
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Minimum Bachelors in quantitative discipline/Masters degree in Maths/ Statistics/ Econometric/other quantitative disciplines and actuaries/ FRM/ CQF/ PRM certification would be a definite plus |
| Career Level: |
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Experienced Professional |
| Minimum Experience: |
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3 Years5 Years |
| Salary Range: |
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PKR 0 to 0 per Month |
| Apply By: |
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Apr 21, 2018 |
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| Job Description: |
The prime responsibility of this role is to support our Risk Management department with insights gained from analyzing data. The ideal candidate is adept at using large data sets models to test the effectiveness of different courses of action. He/ She must have strong experience using a variety of data mining/data analysis methods, variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Must have a proven ability to drive results with data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets to improve outcomes.
Responsibilities
- Develop and implement new statistical/machine learning models to identify performance and risk drivers in the credit portfolio.
- Develop and implement new risk and performance assessment models to measure risk and performance in the portfolio.
- Manage large loan level and borrower level data used for risk and learning models.
- Measure the risk and performance indicators for lending products using existing and new models.
- Perform qualitative and quantitative analysis of various performance metrics.
- Document the analysis methodology and findings in report and present the analysis to the Management (model notes, white papers, working papers, etc.).
- Contribute towards other risk management work done by the risk management function.
Qualification and Skills Required
- Strong background in statistics and probability.
- Knowledge of advanced statistical techniques and concepts (regression, decision trees, SVM) and experience in implementing the same.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Excellent writing, oral communication and presentation skills.
- A drive to learn and master new technologies and techniques.
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| Company Information |
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Company Name: Finca Microfinance Bank
Company Description:
pFINCA is a globally recognized microfinance organization working in 5 continents and in 23 countries. FINCA provides financial services to the world's lowest-income entrepreneurs so they can create jobs; build assets and improve their standard of living. In 2013, FINCA acquired a majority share of Kashf Microfinance Bank Ltd. and later in November, the bank was rebranded to "FINCA Microfinance Bank Ltd"./ppFINCA Microfinance Bank Ltd is now in more than 90 cities across Pakistan with over 100 outlets. It is one of the fastest growing financial institutions in Pakistan backed with global expertise. The growing presence in Pakistan across more than 100 cities ensures that access to financial services is at the disposal of every Pakistani. FINCA Microfinance Bank Ltd. not only provides financial solutions to lowest income entrepreneurs of Pakistan but also strive to create a positive social impact through job creation and poverty alleviation. A research study has shown that 1 loan creates a minimum of 3 jobs./ppFINCA Microfinance Bank Ltd is a full service bank established under license by the State Bank of Pakistan. As a member of 1Link, FINCA Microfinance Bank Ltd. gives fund accessibility to its customers 24/7 through more than 7,000 ATMs across Pakistan. Each outlet is fully equipped with the latest banking softwares which provide robust online facilities. Our institution is an Equal Opportunity Employer(EOE) and offers its employees an enabling environment to learn, grow and excel not just in their own area of expertise, but also empowers them to exchange experiences and ideas with peers and supervisors, thereby continuously bringing about innovation and improvement in all facets of our business. Moreover, our well-rounded training program caters to the development needs of employees at all levels to ensure that they get a chance to grow as the institution progresses, and at the same time, our employee engagement initiatives are designed t
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