Fronis Implementation And Converts

Fronis Implementation and Converts

Client

Multi-Geography Hedge Fund

Challenge

Rapid fund growth exceeded existing infrastructure capacity; needed robust Front Arena implementation supporting complex Convertible Bonds trading and cross-asset strategies with advanced modelling capabilities

Scope

Complete Front Arena implementation including bespoke OMS development, replicating internal tool functionality, covering position keeping, risk and portfolio management, comprehensive reporting, integration with Geneva Back Office and internal systems, Python development, SQL/Postgres databases, Power BI analytics

Team

Outcome

On-time, on-budget delivery; scalable platform supporting fund growth; full application managed services partnership established

Success creates its own challenges. When hedge funds experience rapid growth, expanding assets under management, adding sophisticated strategies, and increasing trading complexity and volume, their technology infrastructure faces mounting pressure. Systems adequate for yesterday’s scale become bottlenecks for today’s operations and wholly inadequate for tomorrow’s ambitions.

For a growing multi-asset hedge fund with particular strength in Convertible Bonds trading, this technology constraint had reached a critical point. Their existing setup could no longer support the complexity and scale their strategies demanded. They needed enterprise-grade trading infrastructure, not just to resolve current limitations, but to establish a foundation for continued growth.

MEG Analytics was engaged to deliver a comprehensive Front Arena implementation from the ground up, creating a robust platform for order management, position keeping, risk management, and reporting, all integrated with the fund’s existing Back Office and internal systems. The engagement would evolve into a full application managed services partnership supporting the fund’s live operations.

The Challenge: Building for Complexity and Growth

Hedge funds pursuing sophisticated trading strategies, particularly in specialised areas like Convertible Bonds, require technology platforms capable of handling substantial complexity. Standard configurations rarely suffice, these environments demand customisation, advanced modelling capabilities, and seamless integration with existing systems.

Convertible Bonds specialisation with cross-asset support

The fund's strength in Convertible Bonds trading required sophisticated modelling capabilities that could handle these hybrid instruments' unique characteristics, part Equity, part Bond, with complex optionality. But they also needed full cross-asset support for their broader portfolio. The platform had to excel at specialised modelling while maintaining flexibility for diverse instrument types.

Bespoke OMS requirements

The fund had developed internal order management tools tailored to their specific workflows. Rather than abandon these familiar processes, they requested Front Arena's OMS be configured to replicate their existing tool's functionality. This meant understanding how traders actually worked, what workflows they relied on, and ensuring the new system felt natural rather than forcing adaptation to generic configurations.

Complex integration landscape

The Front Arena implementation needed to integrate with Geneva for Back Office operations and with the fund's proprietary internal systems. These integrations weren't simple data feeds, they required deep understanding of how each system operated, what data it needed, and how workflows spanned system boundaries. The challenge was compounded by limited documentation: no playbook existed for these integrations, and specifications for how other systems worked weren't clearly documented and needed to be investigated.

Comprehensive functional requirements

The implementation spanned the full trading lifecycle. Order management had to support sophisticated workflows. Position keeping required accuracy and real-time visibility. Risk and portfolio management needed advanced analytics. Reporting had to serve multiple stakeholder groups with different information needs. Each functional area brought its own complexity and integration requirements.

Technology stack integration

The solution needed to coordinate across Front Arena, Python development, Microsoft SQL and Postgres databases, and Power BI for analytics and visualisation. Each technology served specific purposes, but they had to work together cohesively, data flowing correctly, calculations consistent, reporting accurate.

Tight timeline pressures

The fund needed the platform operational quickly. Growth couldn't wait for extended implementation timelines. The go-live deadline was compressed, creating pressure to deliver comprehensive functionality rapidly without compromising quality.
Adding further complexity, MEG Analytics joined the project mid-stream when it became clear additional expertise was needed. The team had to quickly understand what had been started, identify gaps, and push the implementation to successful completion, all while maintaining the deadline.

The MEG Analytics Approach: End-to-End Ownership

MEG Analytics took comprehensive ownership of delivery, not just technical implementation, but project management, system integration, testing, and the transition to production support. This end-to-end accountability ensured clear responsibility and eliminated coordination gaps that fragment multi-vendor engagements.

Comprehensive Front Arena Implementation

The core technical work involved building a complete Front Arena platform from the ground up. This wasn’t configuration of standard functionality, it was a comprehensive implementation tailored to the fund’s specific requirements.

The implementation scope included:

Bespoke Order Management System replicating the fund’s internal tool workflows and functionality
Position keeping infrastructure providing real-time visibility and accuracy
Risk and portfolio management capabilities with advanced analytics for Convertible Bonds
Comprehensive reporting framework serving multiple stakeholder needs
Cross-asset support maintaining flexibility beyond convertible bonds specialisation
Custom modules and scripts extending core Front Arena functionality

Each component was designed not just for current needs but for scalability. The fund was growing-the platform had to grow with them.

Integration and System Coordination

Building the Front Arena platform was only part of the challenge. The system had to integrate seamlessly with Geneva for Back Office operations and with the fund’s proprietary internal systems. Without clear documentation or integration playbooks, MEG Analytics had to understand these systems through investigation, testing, and close collaboration with the fund’s teams.

The team implemented robust data flows between systems, ensuring consistency across trading, operations, and reporting. Python development supported custom integration logic. SQL and Postgres databases provided efficient data management. Power BI enabled sophisticated visualisation and analytics accessible to different user groups.

This integration work required both technical and functional expertise as well as project management capabilities, working across multiple systems, coordinating with different teams, and ensuring all pieces worked together cohesively.

Deployment Automation and Process Excellence

MEG Analytics leveraged MegDiff and MegDeploy, our proprietary tools developed specifically for Front Arena deployments. These automation capabilities streamlined the implementation process, enabled thorough testing, and established continuous integration and deployment processes that would prove valuable long after go-live.

The deployment automation wasn’t just about speed, it was about reliability and repeatability. Changes could be tested thoroughly, deployed consistently, and rolled back if necessary. This operational maturity distinguished professional implementation from ad-hoc development.

Project Management and Delivery Ownership

MEG Analytics took full project management responsibility, coordinating all aspects of delivery. This wasn’t passive project administration, it was active ownership ensuring progress continued, issues got resolved, and the deadline remained achievable despite complexity.

Acting as the central delivery and coordination point, MEG Analytics managed relationships with the fund’s teams, coordinated vendor interactions where necessary, and maintained clear visibility into project status. When challenges emerged, which tends to happen in complex implementations, responsibility for resolution was unambiguous.

The Outcome: Foundation for Growth, Partnership for the Future

Successful platform delivery

Complete Front Arena implementation operational and supporting live trading
Bespoke OMS successfully replicating internal tool functionality traders were familiar with
Advanced Convertible Bonds modelling capabilities within cross-asset framework
Seamless integration with Geneva Back Office and internal systems
Comprehensive reporting and analytics via Power BI
On-time delivery meeting compressed go-live deadline, on-budget execution

Operational capabilities gained

Scalable platform capable of supporting fund growth and expanding strategies
Improved operational resilience through robust infrastructure
Enhanced risk management and portfolio analytics capabilities
Real-time position visibility and accurate tracking
Foundation for continued technology evolution as business needs develop

Ongoing partnership

The strongest validation came after go-live. Impressed with the implementation and confident in MEG Analytics’ expertise, the fund established a full application managed services contract. MEG Analytics transitioned from project delivery to ongoing platform support, maintaining the system, implementing enhancements, evergreening the estate and serving as trusted technology partner.

This evolution from project to partnership demonstrates genuine client confidence. Organisations don’t entrust mission-critical trading platforms to vendors they don’t fully trust. The managed services relationship validated both the quality of initial delivery and MEG Analytics’ capability to support complex financial technology over the long term.

Why This Matters: The MEG Analytics Difference

This engagement exemplifies capabilities that distinguish MEG Analytics in complex financial technology implementations:

End-to-end Front Arena expertise

From initial architecture through implementation, integration, testing, go-live, and ongoing support, MEG Analytics delivered the complete lifecycle. This comprehensive expertise enabled ownership of the entire solution rather than fragmented delivery across multiple vendors. The fund had a single point of accountability that genuinely understood their platform at every level.

Specialised products knowledge

Convertible Bonds require sophisticated modelling as they're hybrid instruments with complex characteristics. MEG Analytics brought genuine understanding of these products, not just generic technical know-how. This domain expertise enabled implementation that genuinely served the fund's trading strategies rather than forcing workflows into standard templates.

Integration in undocumented environments

Without clear playbooks or comprehensive specifications for existing systems, MEG Analytics had to understand through investigation and collaboration. This capability, working effectively in environments without perfect documentation, reflects real-world consulting experience. Most enterprise environments aren't perfectly documented. Success requires ability to understand systems through analysis, testing, and stakeholder engagement.

Deployment automation value

MegDiff and MegDeploy provided competitive advantages throughout implementation and continue providing value in ongoing managed services. These tools enable faster, more reliable deployments while reducing risk. They represent investment MEG Analytics made in delivery excellence that benefits every client engagement.

Project to partnership transition

The evolution to full application managed services demonstrates sustained value delivery. MEG Analytics didn't just implement and disappear, we established ongoing partnership supporting the fund's continued success. This long term relationship model creates alignment between consultant and client, with MEG Analytics invested in platform performance long after initial go-live.

The Broader Lesson

Hedge fund success often creates technology challenges. When strategies perform well and assets grow, trading infrastructure faces increasing demands. What worked at a smaller scale becomes inadequate and rigid. Systems built for simpler operations struggle with complexity.

The decision point arrives: patch existing systems hoping they’ll suffice, or invest in proper enterprise infrastructure capable of supporting continued growth. This fund chose the latter, not a simple upgrade, but a comprehensive implementation establishing foundation for their next phase.

Success in these implementations requires more than technical competence. It requires understanding sophisticated trading strategies, modelling complex financial products, integrating with existing systems despite imperfect documentation, managing compressed timelines, and delivering solutions that genuinely serve operational needs rather than theoretical specifications.

This project demonstrated that hedge funds can successfully implement enterprise-grade trading platforms supporting specialised strategies like Convertible Bonds while maintaining cross-asset flexibility, when partnered with consultants who combine technical expertise, financial products knowledge, and practical delivery experience.