We are looking for a Senior Financial Risk Engineer to own and evolve the core calculation engine behind our ALM and regulatory platform.
This is not a generic backend role. Your primary responsibility is the design and implementation of financial and risk calculations - interest rate risk (IRRBB) liquidity (LCR) stable funding (NSFR) economic value metrics and balance sheet simulations - within a distributed cloud-ready architecture.
You will sit at the intersection of:
Quantitative / functional risk expertise (ALM liquidity regulatory capital) and
Robust software engineering (Java distributed compute performance correctness).
If you enjoy:
Translating ALM treasury and Basel rules into executable models
Designing cash-flow engines and scenario frameworks
If numerical robustness and explainability of risk metrics at scale then this role is designed for you.
Lead the design and implementation of core financial/risk models in Java within the RiskPro calculation engine.
Work with risk treasury and regulatory SMEs to:
Validate calculation approaches against ALM desk practice and regulatory expectations
Design scenario libraries and stress testing frameworks (rate shocks liquidity stresses balance sheet strategies)
Implement unit scenario and regression test suites:
Golden datasets with known outputs for IRRBB LCR NSFR FTP etc.
Non-regression tests when regulatory rules or models are updated
Collaborate closely with:
Platform engineers on deployment performance and observability (Kubernetes Ignite OTEL)
RRH teams to ensure consistent behaviour of the single-calculation / enrichment loop
Contribute to and review technical specifications and design documents for calculation changes.
Provide technical and functional mentorship to other developers in the squad on financial calculations.
Several years working hands-on with ALM / Treasury / Risk calculation engines in banking or vendor software covering at least some of:
IRRBB (NII EVE gap/duration analysis)
Liquidity risk: cash flow engines LCR and NSFR calculation
FTP and balance sheet optimisation behaviour modelling (prepayment decay)
Deep familiarity with cash-flow-based modelling:
Building/maintaining engines that project interest and principal flows over time
Handling behavioural vs contractual views and multiple scenario overlays
Strong understanding of banking products and their risk characteristics:
Retail and wholesale deposits term deposits loans/mortgages securities (bonds) off-balance sheet items derivatives used for hedging
Technical / Engineering
Strong software engineering skills in Java (preferably Java 11):
Solid OO and functional design collections concurrency
Implementing performant algorithms for large-scale data processing
Experience building calculation services that run as part of:
Batch job frameworks grid/distributed compute or microservice-based calculation engines
Competence with relational databases (e.g. MS SQL Server Oracle AzureSQL):
Understanding of schemas that support risk / ALM data
Comfortable with efficient querying and aggregation patterns
Good understanding of:
RESTful APIs and data contracts (JSON OpenAPI)
Working in a containerized environment (Docker Kubernetes) with a basic understanding of how services scale and communicate
Experience with:
Apache Ignite or other distributed in-memory grids / caches
WebSocket-based result streaming or high-volume data export APIs
OLAP or multidimensional analytics (ActiveViam Atoti or similar)
Prior work on:
Unified risk and regulatory platforms where internal risk numbers must reconcile to regulatory filings
Implementing or validating models against EBA / ECB / Basel III / CRR technical standards
Familiarity with:
OpenTelemetry (metrics traces) correlation IDs and traceability patterns for complex calculations
Dev practices around model governance (model change logs validation challenger models)
You think like both a quant and a software engineer: you care that the numbers are right explainable and repeatable and that the code is robust and maintainable.
You are comfortable debating behavioural assumptions discount curves and regulatory interpretations then turning decisions into code and tests.
You enjoy working in a cross-functional squad with product architects and domain experts owning problems from idea to production.
You are motivated by seeing how your calculations directly influence ALCO decisions regulatory headroom and capital efficiency for our clients.
About Regnology
Regnology is a recognised leader in regulatory risk tax finance reporting as well as supervisory technology connecting regulators and the regulated across more than 100 countries.
Serving Tier 1 banks regional institutions corporates insurers and authorities our modular cloud-native platform delivers trusted compliance innovation and future-ready solutionsempowering clients with global reach local expertise and proven leadership.
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Senior IC
Regnology is a leading technology firm on a mission to bring safety and stability to the financial markets. With an exclusive focus on regulatory reporting and more than 7,000 financial institutions, 30 regulators and 20 tax authorities as clients, we’re uniquely positioned to bring g ... View more