Lead Financial Risk Engineer

What you'll do

As Squad Lead you are accountable for both functional quality and delivery:

• Own delivery of business initiatives:

  • Collaborate with Product to define scope, acceptance criteria, and timelines for ALM and regulatory features

  • Break down initiatives into epics, stories, and technical tasks for the developers in your squad

  • Actively manage priorities, dependencies and risks; rescope or phase work when needed to meet deadlines

• Run effective team processes:

  • Lead planning, refinement, standups, reviews, and retros

  • Ensure work is visible (board hygiene), WIP is controlled, and blockers are surfaced early

  • Maintain a healthy balance between feature delivery, technical debt reduction, and model robustness

• Uphold engineering excellence:

  • Review key designs and code for calculation paths

  • Set standards for test coverage (unit, scenario, regression) and nonfunctional testing (performance, resilience)

  • Drive adoption of observability practices (metrics, traces, logs) for your services

• Coach and grow the team:

  • Mentor developers on both the domain (ALM, liquidity, regulatory metrics) and engineering (Java, distributed systems)

  • Create a constructive feedback culture and encourage shared ownership of calculations and code

How you lead

• You care first and foremost that the numbers are right and explainable, and you insist on code that reflects that

• You are comfortable owning a roadmap: you can say "no", "not now", or "this is the minimal viable slice" when needed

• You translate complex ALM and regulatory requirements into a sequence of concrete, deliverable increments for your squad

• You build a culture where engineers understand:

  • The business impact of their calculations (ALCO decisions, regulatory headroom, capital efficiency)

  • The engineering standards required to run those calculations reliably at scale

Why we should decide on you

Functional / Quantitative

• Proven experience working with ALM / Treasury / Risk calculation engines, in a bank or vendor, including:

  • IRRBB: Delta NII, Delta EVE, gap/duration analysis, interest rate shock frameworks

  • Liquidity risk: cash-flow engines, LCR and NSFR calculations

  • Behavioural modelling: prepayment, decay, roll-overs

• Strong understanding of banking products and their risk/liquidity profiles:

  • Retail/wholesale deposits, term deposits, loans/mortgages, bonds, off-balance sheet items, and common hedging derivatives

• Ability to discuss and challenge ALM / regulatory assumptions with CRO, Treasury, and Risk stakeholders

Technical / Engineering

• Strong software engineering background in Java (Java 11+ preferred):

  • Proven experience designing and implementing performance-sensitive calculation logic

  • Solid grip on collections, concurrency, and data processing patterns

• Experience building calculation or analytics services in:

  • Batch frameworks, grids/distributed compute, or microservice architectures

• Competent with relational databases (MS SQL Server, Oracle, AzureSQL):

  • Understanding schemas for positions, cash flows, scenarios and results

  • Comfortable with SQL for efficient aggregations and reconciliation

• Good understanding of:

  • RESTful APIs and data contracts (JSON, OpenAPI) for integration (e.g. enrichment APIs)

  • Containerized environments (Docker, Kubernetes) and how services are deployed and scaled

Leadership & Delivery

• Prior experience as a Tech Lead / Squad Lead / Team Lead:

  • Leading several developers on complex, back-end heavy projects

  • Taking end-to-end responsibility for delivering features to agreed timelines

• Demonstrated ability to:

  • Translate business/functional requirements into technical plans

  • Make trade-offs visible and communicate them clearly to product and stakeholders

  • Keep the team focused and productive in a complex domain with changing regulatory context

Nice to Have

• Experience with:

  • Apache Ignite or similar distributed in-memory data grids / caches

  • WebSocket-based streaming of results and/or high-volume export interfaces

  • OLAP / multidimensional analytics tools (e.g. ActiveViam Atoti or equivalent)

• Exposure to:

  • Regulatory frameworks (Basel III/3.1, CRR, EBA IRRBB and liquidity guidelines, BCBS 239)

  • Model risk governance: model documentation, validation cycles, challenger models

• Familiarity with:

  • Observability tooling (OpenTelemetry, Prometheus/Grafana, ELK)

  • CI/CD for Java/Kubernetes-based systems, Helm/Compose-based deployments

Why you should decide on us

• Let’s grow together, join a market leading SaaS company – our agile character and culture of innovation enables you to design our future.
• We provide you with the opportunity to take on responsibility and participate in international projects. 
• In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas. 
• Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
• We are proud of our positive working atmosphere characterized by a supportive team across various locations and countries and transparent communication across all levels. 
• Together we're better - meet your colleagues at our numerous team events.

 
To get a first impression, we only need your CV and look forward to meeting you in a (personal/virtual) interview!
Recognizing the benefits of working in diverse teams, we are committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, and sexual identity.
Are you interested? Apply now!
https://www.regnology.net 
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Qui sommes-nous ?

Regnology est un chef de file technologique qui s’est fixé pour mission d'apporter la sécurité et la stabilité aux marchés financiers. Avec un focus exclusif sur le reporting réglementaire et plus de 34 000 institutions financières, 60 régulateurs, organisations internationales et autorités fiscales qui s'appuient sur nos solutions, nous nous positionnons de manière unique pour apporter une meilleure qualité de données, une plus grande efficience et de réduction des coûts pour tous les acteurs du marché. Avec plus 850 employés répartis dans 15 pays et un modèle unifié d'acquisition de données, nos clients peuvent rapidement extraire de la valeur de nos solutions et rester aisément en conformité avec les évolutions réglementaires. Regnology a été créé en 2021 lorsque BearingPoint RegTech, une ancienne unité commerciale de BearingPoint Group, a uni ses forces à celles de Vizor Software, un leader mondial des technologies de réglementation et de supervision.