OSIS

OSIS™ is a credit risk analytics Fintech company with clients based in Europe, North America, Asia and Australia. We work for tier 1 banks, insurance companies, asset managers and pension funds. We have access to the best data, focus on data visualisations and are developing a new generation of self-learning credit models using Bayesian statistics. We also partner with global institutions like Bloomberg and Global Credit Data. Our goal is to decrease risk illiteracy from senior management of tier 1 financial institutions to private individuals.

OSIS Den Haag, Nederland
jul 18, 2019
Fulltime
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. We offer consultancy, software and SAAS services covering data preparation and visualization, credit modelling (Basel, Stress testing, Solvency II and IFRS9), IFRS13 valuation and credit portfolio management tooling. We work for tier 1 banks, insurance companies, asset managers, Fintech companies and pension funds. 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 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. Job Description In this role your duties will include, but not necessarily be limited to, the following: Maintain and improve the OSIS™ suite of statistical models Coordinate development and evolution of the credit risk stress testing models, including the translation of macro-economic and financial developments in credit risk cost and credit RWA/ECL projections Combine an understanding of business challenges with strong modelling skills. This allows you to translate our customer's real opportunities into tangible quantitative models that can suggest usable predictions and decisions improving our customer's business Produce credit analysis, research and advice to clients Provide on-the-job coaching to our juniors Report directly to the CEO Profile Education Master level degree or higher in statistics, econometrics or other related quantitative discipline Experience Proven experience 5 years+ with credit modelling in relation to Basel, stress testing and/or IFRS9 preferably in banking and finance. 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) Technical skills Strong financial programming skills with a preference for (but not limited to) R and Shiny. Ability to analyze and combine large data sets using cloud computing Communication and stakeholder management Excellent communication and organizational skills and fluent in English, both written and spoken. Other European languages are a plus. Ability to work well with demanding senior stakeholders, both internally and externally and a good understanding of and experience with Agile Way of Working. 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. Ability to take the lead, coach junior team members, work in a team and ensure successful on time delivery, What we offer Competitive salary and a 13 th month 25 annual leave days NS Business Card for commuting Profit share or bonus plan subject to the company annual results Ability to acquire certificates of shares in the company A solid pension plan An informal multi-cultural working environment with great colleagues To apply: We are looking for an enthusiastic quantitative analyst/developer with excellent analytical and programming skills with a keen interest in quantitative finance and risk modelling. Please email your CV and cover letter to us via the apply button We are looking forward to receiving your application.   Posting date: 13 May 2019 Location: The Hague, the Netherlands Position: Full-time www.os-is.com
OSIS Den Haag, Nederland
jul 18, 2019
Fulltime
OSIS™ is a credit risk analytics Fintech company with clients based in Europe, North America, Asia and Australia. We work for lenders (banks and Fintech companies) and investors in credit risk (insurance companies, asset managers and pension funds). We also partner with global institutions like Bloomberg and Global Credit Data. Our goal is to decrease risk illiteracy from senior management of tier 1 financial institutions to private individuals. OSIS™ is looking for a full time quantitative credit analyst based at its office in The Hague. The analyst will work in an innovative environment of a dynamic analytics boutique. The position is full time and suited for a motivated individual with demonstrable affinity with financial industry. Candidates should have strong quantitative and communication skills with a particular emphasis on statistics and econometrics. OSIS™ offers an attractive reward package, an investment in further education and an inspiring, international working environment with clients in Europe, North America, Asia and Australia. We work for tier 1 banks, insurance companies, asset managers and pension funds. Responsibilities of the Quantitative Credit Analyst are: Maintenance and improvement of the OSIS™ data infrastructure and suite of statistical models Analysing asset-backed securities and loan portfolios under various stress scenarios Producing credit analysis and research with macro-economic elements Requirements: Enthusiastic and creative team player Strong quantitative analytical skills English both verbal and in writing (one or two other European languages is a plus) Experience with financial programming (preferably R and Shiny) Demonstrable affinity with the financial industry Applications package: CV and motivation For sending your application or more information please contact us via the apply button.