Open Source Investor Services B.V. (“OSIS”) is a Dutch fintech company, founded in 2010, based in the Hague and specialized in credit risk. We ensure lenders and investors in loans confidently make good credit decisions, competently value and actively manage portfolios and can comply with regulations in an easy and cost-efficient manner.
Credit is good, if well understood.
Although we are very knowledgeable in all aspects of credit modeling (Basel, Stress testing, Solvency II and IFRS9) we focus on making the models valuable building blocks for management information to support decisions and valuations. We work for tier 1 banks, insurance companies, asset managers, Fintech companies and pension funds especially when it comes to buying or selling loan portfolios. OSIS is a growing company and came in at number 26 in the Deloitte Technology Fast 50 and number 20 in the FD Gazellen in 2018.
OSIS currently has an exciting new role available for a senior quantitative credit analyst. The senior analyst will work autonomously in a dynamic, international and innovative environment. The position is full time and suited for a motivated individual with demonstrable affinity with the financial industry. Candidates should have strong quantitative and communication skills with a particular emphasis on statistics and econometrics. OSIS™ offers an attractive reward package, and an inspiring, international working environment with clients in Europe, Australia and North America.
In this role your duties will include, but not necessarily be limited to, the following:
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Maintain and improve the OSIS™ suite of statistical models
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Help to integrate the models into an innovative framework to support strategic management and transactions decisions and risk surveillance by banks and investors
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Produce credit analysis, research and advice to clients
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Provide on-the-job coaching to our juniors
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Report directly to the CEO
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Master level degree or higher in statistics, econometrics or other related quantitative discipline
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Proven experience 5 years+ with credit modelling in relation to Basel, stress testing and/or IFRS9 preferably in banking and finance
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Experience with and knowledge of advanced statistical principles and modelling techniques, especially in the area of credit risk analysis and modelling (regulatory models (Basel), IFRS9 modelling)
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Strong financial programming skills with a preference for (but not limited to) R and Shiny
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Ability to analyze and combine large data sets using cloud computing
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Excellent communication and organizational skills and fluent in English, both written and spoken. Other European languages are a plus
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Ability to work well with demanding senior stakeholders, both internally and externally and a good understanding of and experience with Agile Way of Working
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Ability to communicate the findings and recommendations of analysis in a clear and effective manner at all levels, including experience with visual reporting and dashboarding tools
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Ability to take the lead, coach junior team members, work in a team and ensure successful on time delivery
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Competitive salary and a 13th month
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25 annual leave days
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NS Business Card for commuting
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Profit share or bonus plan subject to the company annual results
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Ability to acquire certificates of shares in the company
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A solid pension plan
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An informal multi-cultural working environment with great colleagues