“Our clients often look to transform their tool mix of Excel, Python, Matlab or R into a scalable and integrated platform. We love to support them in building such an assembly line for smart analytics.”
Quant IT for Finance
Easing Navigation
in a Complex World
We combine quantitative skills, industry expertise and software engineering to build analytics for financial services. They offer high-quality data and real-time applications to gain insights and provide direction.
How We See Quant IT for Finance
In Quant IT for Finance we build the bridge between quants and IT. We blend complex processing of data streams, mathematical algorithms and software engineering. Together with our clients we develop powerful and regulatory compliant analytics to navigate through the complexity and dynamics of financial markets.
How You Benefit
Relying on our experience we develop analytics, automate processes, establish consistent data flows, implement efficient migrations, reduce complexities and achieve scalability for different clients in the financial industry. Here are four projects as examples:
Make a Business Scale
Transform 150 mathematical scripts of a clearing house into software that automates processes, easily used by non-technical staff.
Success Story: Stock Exchanges ›Digitalise Risk Advisory
Engineering an online analytics platform that brings the individually tailored service of hedging financial risks to a scalable number of clients.
Success Story: Banking ›Create a Lean Valuation Process
Reshape a grown analytics landscape into a lean risk management process to wind-down toxic assets of a bad bank.
Centralise High Quality Market Data
Offering all German banks a regulatory compliant service to pre-process market data easing daily risk calculations.
What We Offer
Our approach to Quant IT for Finance focuses on your business model and the needs of individual user groups to develop innovations and tackle regulatory requirements. Together we assess data flows, modernise existing tool landscapes or build efficient solutions for valuation and risk analytics. Such activities are divided into three offerings of different sizes:
Digital
Health Check
We examine your tool landscape for valuation and risk analytics and the associated data flows.
Time-frame
3-5 dys
Strategy and
Prototyping
Together we design a roadmap for scalable analytics and test its feasibility with prototypes.
Time-frame
> 4 wks
Analytics
Engineering
We implement your analytics strategy bringing the needs of quants and IT experts together.
Time-frame
> 3 mths
Where We Excel
To build quantitative solutions that leverage your business, we rely on a set of methodologies and technologies:
Quant IT for Finance
Domain Knowledge
Valuation & Risk Analytics
Credit Risk
Independent Price Verification
Derivatives Pricing
Security Pricing
Market Risk
Liquidity Risk
Counterparty Risk
Model Risk
xVA
Applied Mathematics
Trading & Portfolio Analytics
Market & Reference Data
Accounting & Regulatory Analytics
Domain Technologies
Quantitative Frameworks
Front-to-Back Office Automation
Market & Reference Data
Systems
Feeds
Analytics Architecture
Data Architecture
Real Time Architecture
High Performance Computing
Microservices
Visualisation
Application Architecture
Application Integration
Analytics Ops
How to Get in Touch
We love exchanging ideas with you, so do feel free to reach out!
