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No-code Platforms for Financial Services

At Hedgetech, we provide our clients with efficient no-code platforms and managed services to help tackle complex risk and data management challenges. We develop leading platforms supported by cutting-edge algorithms through our expertise across multiple financial sectors, from insurance to banking. 

Composable

Data & Portfolio

Management

Experience Hedgetech

in Action

Data Management

Our data management tools enable no-code ingestion and unifying complex data sets into one view.  Transform, unify, control, and repair your data with purpose-built tools for inconsistency detection and financial data integrity.

Path methodology

Understand the impact of intraday movements on positions. Critical for understanding trading desk risks.

Advanced
Methodologies

We employ advanced methodologies to allow our customers to proactively manage their risks. Some of the tools we offer include:

Products

Our products support risk management across a variety of financial institutions for regulatory compliance, portfolio optimization, and hedging optimization.

Data Cloud

The Hedgetech Data Cloud offers no-code data integration, modeling, and data management for organizations across all financial service sectors to improve efficiency and reduce costs.

Risk Cloud

The Hedgetech Risk Cloud offers end-to-end portfolio management with advanced methodologies that provide the necessary insight into risk and exposure for all your assets.

Our Services

Hedgetech offers consulting, training, and managed services for Hedgetech products and general, consulting in the field of financial risk management and control.

Consulting & training

Hedgetech provides training in company products, general training in risk management, and consulting in financial risk management and financial instruments.

Deployment & integration

Hedgetech provides full and partial deployment and integration services.

Managed services

Our platforms are designed with a focus on ease of use, however, customers can also use managed services to run platforms on Hedgetech systems.

Regulation & solvency

CompuRisk addresses multiple regulatory requirements of financial institutions, insurance institutions, index fund managers, and more.

What Our Clients Say

We are known for a level of reliability and client service that sets us apart. Discover some of the recent feedback we have received. We hope to add you to our ever-growing list of satisfied clients.

We’ve been using CompuRisk for the last 12 years for both strategic risk management and regulatory compliance. From the start, Hedgetech provided excellent support – in integrating our entire portfolio in under 4 weeks. Their platform delivers fast results and high modeling flexibility.

CRO – Leading Financial Institution

Latest Positions

We’re constantly growing our team to build great risk management products and algorithms. Check out our openings to join our team.

  • Full-Stack Developer
    Must have: At least 3 years of experience in node.js/java in a web application environment. At least 3 years experience with React, HTML, CSS, JavaScript, WebSockets 2 years experience and deep understanding of backend architectures, APIs, and communication protocols At least 1 year Docker/Kubernetes experience Advantages: FastApi/express or SpringBoot experience. Experience working in agile environments Experience with TDD Understanding and experience with NoSQL databases Advanced CI/CD and DevOps technologies (defining CI workflows in Jenkins or other CI systems, Kubernetes, Docker Swarm, or alternative) Open-source contributions – strong bonus Advanced CI/CD and DevOps technologies (defining CI workflows in Jenkins or other CI systems, Kubernetes, Docker Swarm, or alternative) Open-source contributions – strong bonus
  • Backend Analytics Developer
    Backend developer for a team working on development of a quantitative engine for analyzing financial data. In particular, the engine includes valuation of many asset classes and derivatives types, portfolio level value distribution and statistics, backtesting, and more. The jobs will include processing of financial data, expansion of current engine capabilities (e.g. adding support for additional asset classes or derivative types), and implementation of new algorithms related to performance and risk measurement and analysis. Must have: At least 5 years experience as a developer. At least 3 years experience with scientific/data related development. At least 1 year experience with python’s scientific stack, e.g. NumPy, Pandas, etc. Undergraduate level knowledge of linear algebra, probability, and statistics. I.e. comfortable working with matrices, knowledge of common probability distributions, and understanding of statistical estimation. Advantages: Familiarity with quantitative finance modeling, e.g. Black-Scholes. Experience with AWS. Experience with distributed computing/big data (Dask, Spark, etc.). Familiarity with AI/ML related modeling and tooling (PyTorch, TensorFlow, etc.). Experience working in agile environments. Experience with TDD. Open-source contributions – strong bonus.

Risk & Portfolio Analytics

We add value across every step of the risk management process. From no-code data ingestion to strategic portfolio management, we provide all the tools you need to manage your financial risk.

Collect data

Powerful ETL unifies data sources

Pre-processing & enrichment

AI-powered Inconsistency detection

Risk analysis

Mainstream & extended models, regulation, attribution tools

Benchmarking

Benchmark to market portfolio & competition

Strategy development

Synthetic portfolios & what if real-time simulation

Collect data

Powerful ETL unifies data sources

Pre-processing & enrichment

AI-powered Inconsistency detection

Risk analysis

Mainstream & extended models, regulation, attribution tools

Benchmarking

Benchmark to market portfolio & competition

Strategy development

Synthetic portfolios & what if real-time simulation