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.
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.
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.
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Full-Stack DeveloperMust 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
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Backend Analytics DeveloperBackend 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
