Quant, AI & RegTech
for Alternative Investments
Data-driven quantitative modelling, AI, and regulatory technology - built by fintech experts for asset managers, compliance teams, investment funds, hedge funds, private equity firms, and institutional investors.
AI Driven Quant and Automated RegTech
for Investment Funds
Investment Funds Analytics
Generate higher returns, and better monitor the risk through advanced analytics driven by AI models. Maintain transparency with investors, regulators, risk committees. Seamless data integration with your underlying portfolio investments across all asset classes. European investment funds can also meet PRIPS, AIFMD, KIID & UCITS requirements.
Automated AIFMD Annex IV & PRIIPS Reporting Software
Reduce manual reporting effort by up to 80% and streamline your Annex IV regulatory reporting workflows. Automate data ingestion from portfolio management systems, fund administrators, and risk platforms, perform cross-source data reconciliation, and generate ESMA-validated XML reports ready for submission to National Competent Authorities (NCAs) across multiple AIFs, AIFMs, and European jurisdictions.
Risk Quantification in Commodity Businesses
Quantify the risk inherent in your commodities trading business using VaR / CVaR analysis to dissect potential losses. Know beforehand how much percentage of your trades will be at loss. Optimise your hedging strategies using VaR / CVaR as a tool and use derivatives with confidence to safeguard from sudden price movements due to geopolitical events, demand and supply fluctuations etc.
Data-Driven Commodities Derivative Trading
Power your commodity derivatives strategies using data-driven insights. Our backtesting engine employs advanced algorithms based on market structures such as backwardation / contango to evaluate your trading ideas. Identification of lucrative spreads, arbitrage opportunities and pinpointing the most profitable pricing days. Explore the potential before you enter the market.
AI-Powered Backtesting for Investment Strategies
Measure the potential performance and identify profitability and risk in any investment idea or trading strategy with underlying futures, options, swaps, credit, bonds, equity, forex, etc. Invest with confidence by thorough evaluation of your strategy across hundreds of ideas such as iron condor, straddle, strangle etc, using AI enabled backtest.
Big Data Credit Scoring
Reduce non performing loans and increase profitability across all lending products - retail loans, credit cards, personal loans, unsecured loans, MSME credit. Build, train and backtest high performance machine learning models with lending data and alternate data sources. Acquire more customers that will otherwise remain underbanked.
Annex IV reporting software with intelligent automation, so that AIFMs meet AIFMD requirements with speed, accuracy, and AIFMD 2.0 readiness.
We help asset managers, investment funds, AIFMs, and alternative investment firms streamline regulatory reporting and eliminate manual complexity in Annex IV submissions under the AIFMD. Through intelligent automation, robust data aggregation, and regulator-ready reporting workflows, our platform enables compliance teams to deliver accurate, transparent, and timely submissions while reducing operational burden.
Clients have trusted Convexium for more than 15 years (since 2007) to translate complex financial and regulatory challenges into practical technology solutions. Let’s discuss how Convexium can help your team automate Annex IV reporting, simplify AIFMD compliance, and stay prepared for upcoming regulatory changes. Share your details to book a conversation with our experts.
Advanced Technology for Automated Regulatory Reporting
Our Annex IV reporting platform is built on a modern, scalable RegTech architecture designed to handle the complex data and validation requirements of AIFMD reporting. The system integrates seamlessly with portfolio management systems, fund administrator feeds, risk engines, and internal data warehouses to automate data ingestion and normalization across multiple sources. Advanced rule-based validation and reconciliation engines ensure data consistency before generating ESMA-compliant XML reports for submission to National Competent Authorities. The platform supports multi-fund and multi-jurisdiction reporting, enabling AIFMs to manage multiple reporting entities, funds, and strategies within a single secure environment. With built-in audit trails, version control, and automated workflow management, the solution provides a transparent, reliable, and future-ready infrastructure for Annex IV reporting, including readiness for evolving regulatory requirements such as AIFMD II
Explore our Annex IV Software now.
AI in commodity derivatives goes beyond traditional VaR, using advanced scenario analysis and ML to optimize hedging with spot data, news feeds, and alternative data. AI-powered trading limits predict optimal entry/exit points for maximum profit and minimal loss. AI models don’t just analyze the past; they identify profitable spreads, arbitrage opportunities, and ideal “pricing days” for optimized trades. Even real-time data like crude oil production is factored in, allowing the ML models to suggest data-driven futures strategies for superior results.
Machine learning developers at Convexium can help you accelerate your model development, model training, testing, and evaluation. Backed by experienced data scientists and wealth of experience in Logistic and Linear Regression, Random Forest, Bayesian Networks, Support Vector Machine, Neural Network, Lasso Regression, R, Python, we can seamlessly integrate and deploy the models within your Fintech business processes.
Contact us now to discuss your problem statement and what machine learning models can help you in making faster decisions.
Assess your investment and commodities derivatives strategy risk-reward profile using cloud-based quantitative reports. Analyse metrics such as kurtosis, probabilistic sharpe ratio, omega ratio, skewness, volatility, risk-adjusted returns, daily VaR, drawdowns, profitability and many more. Our cloud-based customizable dashboards offer comprehensive analysis of your strategy through features like box plots, underwater plots, distribution plots, top drawdowns charts, and more. Identify the optimal pricing days for your spreads, liquid alternatives to illiquid contracts and arbitrage opportunities from anywhere and anytime and remove emotional bias in your decisions.
Our quant modelling process helps commodities businesses, quant hedge funds, broker dealers, prop. traders and family offices by rigorous backtesting in a recreated environment replicating conditions like supply / demand of commodities markets, geopolitical events and currency fluctuations. We collect in-house data and from sources like S&P, Bloomberg, and Thomson Reuters and transform using Python libraries like Pandas and NumPy. We then model your strategy using powerful tools like TensorFlow, NumPy, SciPy, PySpark and evaluate them through customizable cloud-based dashboards and reports made using Matplotlib, Seaborn, Plotly. This iterative approach allows for continuous optimization and fine-tuning, ensuring your strategies yield best results.
Contact us now to discuss your Risk Analytics & Model development requirements.
Pre-built data connectors unlock a vast data ecosystem for commodities paper trading desks, risk / derivatives trading departments (Quant), commodity derivatives broker dealers. They empower you with seamless fundamental, market, and tick data integrations, so that you don’t get bogged down by manual data loading process. With data from leading providers like FactSet, Bloomberg, S&P Market Intelligence Platform and Thomson Reuters, alongside real-time data feeds from exchanges such as NYSE and ICE, you can conduct thorough market analysis, respond with agility to market fluctuations, and keep your trading strategy development fueled by the most up-to-date information available.
At Convexium, we handle various data formats, from FTP and APIs (like Bloomberg’s B-PIPE) to SQL databases and through native cloud-based ingestion tools like AWS Database Migration Services and Azure Data Factory, we ensure seamless replication of database changes into Delta Lake. Our team composed of Data Engineers, ETL Developers, Data Architects, Data Analysts, and Data Scientists leverages technologies such as Apache Kafka for data ingestion and Python for pipeline development and efficient data movement and transformation. We empower your team to focus on what truly matters – developing and executing winning commodity derivatives trading strategies.
Contact us now to unlock a vast ecosystem with our data connectors and expert team at Convexium.
For commodities paper trading desks and their risk/derivatives trading departments (Quant), big data modelling offers unparalleled insights into market trends and risk factors. By harnessing big data like images, satellite, sentiment, weather, search engine, logistics and other alternative data sources, traders can gain a comprehensive understanding of market sentiment, market trends, dynamics, supply chains. Sentiment analysis tools provide valuable insights into bullish and bearish market sentiments, enabling traders to make informed decisions and mitigate risks effectively. Additionally, the incorporation of weather data and commodity prices enhances predictive capabilities, allowing for more accurate forecasting of supply-demand dynamics and price movements. This holistic approach empowers you to optimize strategies and maximize profitability in commodity markets.
At Convexium, our team of data scientists and machine learning developers specializes in leveraging cutting-edge technologies to perform big data modelling for commodities paper trading desks and their risk/derivatives trading departments (Quant). Through the utilization of advanced tools and techniques such as Apache Spark, Apache Flink, and Hadoop, we extract valuable insights from diverse datasets including images, satellite imagery, sentiment analysis data, weather data, commodity prices data, and logistics data.
Contact us now to unlock unparalleled insights and optimize your commodity trading strategies with our expertise in big data modeling.
Thinking That Keeps You Ahead
AIFMs will need connected, reliable data to evidence decisions across loans, liquidity, delegation and governance.
With AIFMD II taking effect by April 2026, Annex IV reporting is about to become significantly more demanding.
The India-EU Free Trade Agreement opens significant opportunities for fund managers and financial service firms operating cross-border.
About Us
Convexium is a financial analytics division of Netsity Systems (founded 1997), with a hands-on leadership team and hundreds of successful client engagements across the globe. Since 2007, we have helped investment funds, banks, and trading firms turn complex regulatory and quantitative challenges into working, auditable solutions. We understand the pressures investment managers face today: evolving regulations, complex data environments, and the need for greater transparency and control. We bring together quantitative expertise, AI innovation, and regulatory technology to help you meet these challenges with confidence.
We are headquartered in India, with a dedicated 10,000 sq.ft. of center-of-excellence, and global representative offices in UK, USA, Europe, and Southeast Asia. Our team of experienced business analysts, risk management experts, quants blend our technology solutions with their Fintech domain understanding to offer you flexible and configurable solutions that empower your sales, marketing, underwriting, risk, investment, operations, compliance and customer support departments
