Quantalyse BVBA
Brugstraat 4b, Hoeilaart, BELGIUM, 1560
+32 (0)495 993 432
info (at) quantalyse.be
About
Business Consulting
Our purpose is optimizing your business, to move it forward. Reaching improvement in difficult circumstances, with little time or high complexity. When non-standard solutions are required, rather than off-the-shelf approaches. In case when high-quality human resources or know-how are unavailable.
Our approach is conducting dedicated research of your special case. Performing in-depth analysis, and synthesis, combined with cross-interdisciplinary insights. We challenge the existing, innovate what is missing, to propose you an opinioned review or effective plan, that stands out. If your business needs to improve, our consulting team can make the difference, to bring about measurable change and solid results.
Data Mining
Our purpose is unlocking your data, to capitalize on it. Mining the valuable bits to underpin tactical decisions and gain competitive advantage. When deeper data patterns and inferences are required, rather than descriptive summary statistics. In case a data scientist or model expert are unavailable.
Our approach is applying data analytics on your files. Extracting meaningful insights from big databases, raw measurements or cluttered indicators. We explore the past, interpolate the missing, and predict the future behaviour, from simple methods to advanced nonlinear techniques. If your business needs to understand, our data expertise can deliver the leverage, to decipher the puzzle with tangible findings.
Services
Risk Management
Mainly for the financial sector (insurance & banking) in portfolio and balance sheet domain.
- Qualitative Advice, Decision Support & Strategy
- Assessment, Validation & Audit
- Project management and coordination
- Quantitative analysis, modelling & system design
- Research & development for optimization
- Valuation, cash-flow projection and economic scenario generation
- Organising & giving training
Business Intelligence
Mainly for the actuarial sector and small/medium enterprises domain.
- Development of data and testing frameworks and policies
- Design of statistical experiments, interpretation & reporting
- Organising workshops & lectures
- Inference of distributions and patterns in big or sparse high-dimensional data
- Process and data flow analysis with code verification
- Data warehousing, transformation and centralisation
- Development of classification & clustering systems
Work & Clients
Here are some of our most recent works & clients:
Filter Projects and
Clients
- All Projects
- Data Mining
- Clients
- Validation
- Modelling
- Strategy
- Audit
Establish compliance with national supervisors
Reinforcing the Group Audit team, providing quantitative and qualitative support during a Third Line of Defence IMAP deep dive in Credit and Market Risk model inspections.
Audit
Question model assumptions
Support of the Risk Governance Group Validation team, for a scan of the lapse risk module, mortality/longevity module, and staff Defined Benefits Pension Scheme overseas.
Validation
Identify model weaknesses
Provide external independent second opinion, on a Consumer Loan profitability valuation study. Validation of the Life baseline model, including assumptions setting, TVOG, and LAT/TRT reports.
Validation
The extra mile for modeling
Deliver Data Modelling Expertise for Group Risk Management, innovating two methodological posterior model adjustments on an existing Residential Mortgage probability of default risk model: introducing the forward-looking character, and correcting the conservatism of various end-to-end error influences.
Modelling
Test what has not been tested before
Provide team Leadership in charge of an external actuarial team in Risk Governance Group Validation. Validation of the national Pensions portfolio baseline liabilities model through extensive testing of the Moses projection engine.
Validation
Render techniques between departments consistent
Analysis of model components during a review of the Solvency II Market Value Margin methodology for the national Life and Pensions books.
Validation
Cluster for optimal loss prediction
Analysis of model components during a review of the Solvency II Market Value Margin methodology for the national Life and Pensions books.
Data MiningTeach how to structure data overhead
Lectures as Data Mining Training Expert for the Actuarial Summerschool and Permanent Education program, linking theory and practice of Data Management.
Data Mining
Implement smart tests where it matters
Team Leadership in charge of an external actuarial team in Insurance Risk. Development of a testing strategy framework extension for P &C, Life, Finance and OR, including policy writing, gap analysis and implementation.
Modelling
Justify subjective parameterizations
Providing Model Management expertise in the compliance verification,benchmarking and gap analysis of the USP parameter setting of a partial internal model for Solvency II, with support in the gap closure. Extending high standards and underpinning pragmatic choices, proportional to the business targets.
ModellingReason of slow site response times
Deliver data and ICT expertise in identification of bottleneck loading behaviour of the online platform. A testing battery was developed and by elimination the problem was narrowed down, short-term countermeasures applied and long-term remedies defined.
Data Mining
Slice and dice product feature combinations
Provide project management support in the actuarial pricing of the technical premium of hospitalisation subcovers, challenging the composition, and calculation of the loading term of the commercial premium.
Modelling
Share credit risk expertise
Consulting Expert and Lecturer for the Credit Risk component in a 5-day staff training course on essentials in finance and insurance.
StrategyBenchmark the fund management
Providing ALM modeling expertise in a Strategic Asset Allocation study of the Employee Benefits Pension portfolio, with independent advice, presentation and scenario analysis interpretation to the Board Committee.
Modelling
Assess 360 degrees
Validation Expert and Project Manager over a team of 2 actuaries, providing external validation of the Life products portfolio, with assessment of the SOlvency II compliance, soundness of methodology, the implementation plausibility and performance in AlgoFM through tests.
Validation
Develop fundamentals of data management system
Provide Data and Systems expertise for the Group, by developing a course and Excel business templates in Data Quality Management from a qualitative and quantitative perspective, in complement with KPMG.
StrategySet out firm-wide review guidelines and standards
Policy and Governance expertise, for the Development of a Model Management Framework, Validation Management and a Review component, ensuring full compliance with Belgian regulation, Solvency II Directive, EIOPA implementation measures and market best practices.
Strategy
Analyse process and procedures for optimal decision taking
Qualitative Policy and Governance expertise, for the refinement of the Non-Life Risk Charter at AXA Belgium entity level. Elaborate charter principles into concepts to guide decisions and achieve targeted major outcomes regarding Property & Casualty Insurance risk management, and organization of the Short-Term Economic Capital requirement within the local Risk Management.
Strategy
Measure client product sensitivity for prediction and explanation
Project Management of a team of model quants to develop a strategic deposit model for pricing and marketing purposes, which quantifies the sensitivity between the deposit volume and the banka€™s deposit rate, underpins how the deposit liabilities can be assigned to several maturity buckets and quantifies effects of what-if scenarios.
ModellingRaise standards of corporate governance
Providing independent advice in the Policy writing of a charter for fit-and-proper requirements for Corporate Key Functions.
Strategy
Support of high impact management decision
Develop an in-depth Model Business Case, providing advice in the selection of the optimal market tool for the calculation of the Basel Probability of Default parameter of the banks and financial institutions portfolio, in order to reach Basel Internal Ratings Based compliance.
StrategyAdvance models to refine accuracy
Project Management with a team of actuaries to optimize a Medical Care internal model for the Retail portfolio, challenge departure from standard formula and develop a methodolgical development program.
Modelling
Prove correctness of internal processes
Assessment of the Data extraction and Preprocessing procedures for Sovereign LGD Model development, along with the data quality quantification of completeness, accuracy and appropriateness.
Data Miningbenchmark the company approach
Independent external Validation of the Incremental Risk Charge model, with focus on model assumptions check, limitations, and recommendations for improvement steps with prioritization.
Validation
Develop a simple structure to manage compliance with complex regulation
Consulting Expert and Lecturer in a 5-day training course for Actuaries and Senior Management, at Assuralia, the Belgian Organisation of Insurers, on Solvency II Pillar II topics around system of governance, own risk management (ORSA) and Capital Liquidity Management.
StrategyProvide independent external second opinion
Validating the backtesting and Stress Testing framework of the SME and retail Basel II models, regarding the adequacy and reliability of scenarios, correctness of tests and code implementation, and assessment of input data quality and transformation errors.
Validation
arbitrate on ad hoc simplifications
Independent external validation of a scoring model for the Belgian corporate MIDCAP population, regarding concept and plausibility of outcomes, with additional complementary and ad-hoc testing.
ValidationDevelop a counterparty rating tool for insurers
Development of a Credit Risk Policy Framework for Insurance. Developing an expert judgement based model of the Counterparty Credit Risk for the Health Care Institutions (HCI, eg hospitals, clinics) segment, including identification of drivers and prototyping a scoring methodology.
ModellingSet new standards for regulatory compliance
Development of an international group-wide model lifecycle policy component of the model origination standards. Audit of the international Group Risk methodology concept paper for lending portfolios. Development of a 2-day training course for staff on standards, theory and practice of performing a self-assessment or model review, including examples and exercises.
Strategy
Rapid prototyping
Periodic validation of all group controlled Eastern European PD/LGD Basel II parameter models through a complete and independent fully replicating shadow modelling approach.
ModellingDevelop a cookbook for modellers
Development of a Group low-default mortgage portfolio Loss-Given-Default methodology.
Strategy
Deliver 2nd opinion of a statistical pricing engine
Perform an independent model review of the statistical pricing engine in an international operational leasing business, with recommendations to gain efficiency worth of several millions in € annually.
Validation
Risk management and governance (2nd line of defense role)
Senior Validation support for IFRS 9 Lifetime Expected Credit Loss (ECL) impairments model for the retail Belgian portfolio. Development of an enterprise-wide Model Risk Policy and IRB Basel Credit Risk models. Support for LGD-in-default IRB Basel Credit Risk models of the retail/commercial/agriculture portfolios
Modelling
Estimate regulatory sector impact estimates in automotive industry
Lead in a study for the non-profit organisation and consumer body representing 107 Mobility Clubs in Europe, the Middle East and Africa, to assess the potential economic impacts of the Extended Vehicle telematics standard on independent operators and consumers in the automotive aftermarket value chain (of the order 250 bn€). Publish, in cooperation with Schönenberger Advisory Services, a Technical Report as a call to the European Commission.
Modelling
Credit risk simulation engine design
Design a Credit Risk simulation engine to govern guarantee portfolios (leveraging about 44 bn€ development aid worldwide) for DG DEVCO and DG NEAR pricing and provisioning.
Modelling
Develop a counterparty rating tool for insurers
Deliver advisory and support in Non-Financial Risk Management, tools development for Risk Assessments and Combined Assurance reporting to the EXCO and Risk&Audit Board Committee. Project lead in Enterprise Data Management. Develop data governance of Operational and Finance business lines along the data lifecycle. Develop data quality indicators and data risk appetite aggregated for EXCO, covering technical and non-statutory accounting operations in the Solvency II Non-Life regulatory reporting scope in the European Economic Area.
Strategy
Advanced economic scenario generation and stress testing
Independent validation of actuarial methodology and calculation results, with sensitivity and scenario analysis. Proposing alternatives, ensuring accuracy,and appropriateness for fiscal planning.
Modelling
Predict plant watering timing
As Data Scientist, delivering design of statistical measures and application of learning algorithms to determine optimal irrigation moments based on plant behavioral inputs.
Modelling
Careers
Quantalyse BVBA is expanding and seeks for its projects in Belgium and the Netherlands freelance co-workers (m/f).
- Provide highly technical support to our clients in their financial/actuarial models
- Analyse and explore (interviews, literature overview, synthesis, recommend)
- Manage design and optimization in gradual steps on various data sources
- Support the customer in implementation and integration into systems
- Provide assistance in operational runs and calibration in production
- Enhance the monitoring, reporting and internal/external acceptance
- Perform development or validation (ie assessment, review, audit) of client risk models
- Analyze the process, provide technical & economically sound options concerning design, implementation, operation or assessment of financial/actuarial models or frameworks of our clients
- Synthesize the process, anticipate issues, diplomatically formulate and present recommendations to optimize client models and processes for model purposes
- You will be mainly based at the client site, in Flanders, Brussels or the Netherlands; short foreign stays are possible too.
- University education level
- Master in actuarial science (life/non/life/health), or PhD in Econometrics, finance or statistics
- Several years of relevant experience or relevant training, preferably exposure to Solvency II, IFRS or Basel regulation
- Hard skills
- Very strong mathematical/statistical background, but with preference for practicality
- Familiar with Cash Flow or Economic Scenario projection, stochastic models, simulation, pricing/valuation models
- Keen interest in reviewing (and developing) new or state-of-the-art models
- Informatics skills
- Hands-on with functional programming or interactive scripting
- Able to perform database querying via standard SQL
- Experience with at least 4 of the following statistical software such as SAS or S-plus, ReMetrica, Igloo, Prophet, Moses, VIPitech, IBNRS, Rescue, R, Excel VBA.
- Soft skills
- Team player
- Diplomatic, presentation capabilities, stress-resistant
- Commercial insight and potential interest in the business development side
- Interpersonal, strong communication and professional writing skills
- Open to our entrepreneurialism, knowledge sharing and innovation
- Great sense for responsibility, punctuality, autonomy and eagerness to learn
- Languages
- Proficiency in at least 3 languages: English, Dutch (native is a plus) and French.
- Apply advanced analytics to data assets of clients, make correct inferences and propose venues for leverage
- Understand the business, meta-data context, process and deployment
- Explore in cross-over various data sources and variable relations
- Define metrics or tests to assess assumptions or model hypotheses
- Identify and quantify data quality and model fit
- In-depth bottom-up breakdown of data components, with scenario-driven challenge
- Data warehousing and business process engineering
- Design, scan, optimize datawarehouses and data infrastructure peripherals
- High-level database management, security and automation means
- Benchmarking, performance measurement of transaction processing systems
- You will be mainly teleworking, with visits to the client for exchange of domain expertise and findings.
- University education level
- Master or PhD in Sciences or engineering
- Several years of relevant experience or relevant training, in several functions
- Hard skills
- Very strong mathematical/statistical background, but with preference for practicality
- Familiar with artificial intelligence techniques, visualisation, learning algorithms, signal processing
- Keen interest in high-performance programming or system tuning
- Familiar with big data handling techniques
- Informatics skills
- Hands-on with object-oriented programming, complex SQL and networks
- Open source-minded, like linux platform parsing or scripting
- Experience with statistical software such as SAS or S-plus, Mathematica or Maple, R or Matlab.
- Soft skills
- Team player
- Hands-on, tenacity, stress-resistant
- Insight in business drivers
- Able to explain complex matters intuitively to management
- Absorb and assimilate complementary information on the case outside your domain
- Great sense for accuracy and completeness
- Languages
- Proficiency in english.
Contact
If there's something strange in your model...Who you gonna call?
-
Luc Hoegaerts
Managing Director
- PhD in Applied Sciences of Data Mining
- MSc Nuclear Physics
- Modelling and validation in Finance
- +20 years projects experience
Business Consulting & Data Mining
Enterprise BE0.537.583.106
Brugstraat 4b
1560 Hoeilaart, Belgium
Europe