RiskFinTech

What we do

We create sophisticated financial risk management software. Our first product is Pluto, an industrial-strength software application to perform end-to-end stress testing and scenario-based financial planning. This is software built by industry experts for industry experts. Our main strength is combining domain knowledge with cutting-edge technology.

Why work with us?

Excellent working conditions

Our work environment is collegial, supportive, and flexible

Great challenging work

Our work is intellectually stimulating and challenging, requiring thinking outside the box

Never a boring topic

Risk models, AI/ML, analytics, stress testing, scenario-based financial planning

Only sophisticated technologies

Microservices, Kubernetes, Docker containerisation, Apache Spark, Kafka and RabbitMQ, cloud computing, Jupyter Notebooks

We speak several languages

Java, Scala, Python, R, SAS, C++, ...

Passionate people

We are a passionate group of professionals and like what we do

Join us

Our vision and strategy

We aim to develop best-in-class financial risk management software by combining domain experience with specialist skills including cutting-edge technology.

It is software built by industry experts for industry experts.

Our typical solution to a client issue has two components: consulting and software

Industrialization of stress testing is a good example where this approach is beneficial

We work closely with our sister company
Basinghall Analytics

Meet Pluto, our first software product

Pluto is a complete end-to-end stress testing and scenario-based financial planning software solution. It also includes regulatory reporting.

Key features

Full orchestration of the entire stress testing and scenario-based financial planning process – using internally or user-specified rules and user-specified models.

The tool comes with two implementations:

An industrial strength module running on AWS with a microservices architecture written in Java and Scala and using Spark for analytics (rule and model execution)

An experimental tool that mirrors the main tool but is implemented in Python and uses Jupyter Notebooks running on the cloud or locally. This allows an “inside the box” view and is designed for “what-if analysis”.

Extensive control framework that performs validations and reconciliations throughout the process that ensures that data quality and integrity are maintained and the calculations make sense.

The control framework leads to easy tracking of errors and provides complete data lineage as per BCBS 239 regulation.

Full audit trail is available along with rigorous version control. Any previous simulation can be rerun exactly as before, thanks to the extensive use of Docker containers.

Pluto and it’s satellites

Charon

Main tool, based on microservices architecture using Apache Spark, written in Java and Scala

Includes frontend and backend

Hydra

Rules library used by Charon and Styx

Includes all business, validation and reconciliation rules

Styx

Experimental tool, based on Jupyter Notebooks written in Python

Hydra

Rules library used by Charon and Styx

Includes all business, validation and reconciliation rules

Nix

Model processing engine

Allows models in Sedna to be executed by Charon and Styx

Sedna

Polyglot model library of Docker-containerised models

A model can be written in any language. It communicates via a REST API

This can be outside Pluto

How it works

1

Pluto takes input data extracted from the bank’s systems and transforms it in six stages to complete the required reporting templates.

2

The data is then transformed at each stage using a large set of transformation rules and models.

3

Many validation and reconciliation rules are applied at each stage to ensure data quality and consistency across different parts of the data.

Pluto’s stage architecture is compliant with BCBS239 data lineage rules, which is always a great challenge for banks

It is a 3-in-1 solution:

A)

a comprehensive stress testing computation module

B)

a reporting module

C)

a data integrity and quality control module

Who uses Pluto?

Banks

Pluto helps banks with regulatory and internal stress testing, scenario-based financial planning and regulatory reporting.

Insurers

Pluto helps insurers with regulatory and internal stress testing, scenario-based financial planning and regulatory reporting.

Asset managers

Pluto helps asset managers with regulatory and internal stress testing, scenario-based financial planning and also supports important investment decisions by forecasting financial and risk profiles of target companies.

Corporates
(non-financial institutions)

Pluto helps corporates with scenario-based financial analysis and COVID-19 type stress testing.

How Pluto can help you?

Essentially by making your life easier through automation of complex and involved processes.

Stress testing

Complete orchestration of stress testing process from initial data through to final template completion
Use cases covered: Bank of England’s STDF (also 2022 templates), European Banking Authority’s stress test (EBA ST), internal ICAAP stress tests, Bank of England’s climate stress test CBES, EBA’s climate stress test, recovery stress test, reverse stress test
Integration of climate stress test into other stress test processes
Full BCBS 239 data lineage and data quality control

Scenario-based financial planning

Scenario-based financial planning is computationally similar to stress-testing, and hence the tool provides complete orchestration from initial data through to final template completion
Examples of realistic comprehensive templates for scenario-based financial planning, which can be modified/replaced with client’s own templates
Integration of climate stress test into scenario-based financial planning process

Regulatory reporting

Superfast completion of COREP and FINREP templates
Their reconciliation with BoE’s STDF templates

Our people

We are a group of passionate professionals working together to build best-in-class financial risk management software.

What we really like about RiskFinTech is the opportunity to work on intellectually challenging problems, thinking creatively to combine quant and technology – and doing this in a collegiate and supportive environment.