Quantitative Finance · Agentic AI · Financial Engineering

Agentic Quantitative Research & Financial Intelligence.

We combine quantitative finance, advanced statistical modelling and agentic AI engineering to deliver specialised research and analytical capabilities for hedge funds, banks, asset managers and institutional investors.

A specialist research and engineering partner — not a one-size-fits-all financial AI platform.

XAQRE · Research workflowModular architecture
◎Research objectiveInvestment question · Risk mandate · Credit assignment01
↓
⌘Agentic orchestrationTask planning · Specialist agents · Tool coordination02
↓
∑Quantitative executionStatistics · ML · Optimisation · Simulation03
↓
✓Validation & governanceReproducibility · Diagnostics · Human review04
Evidence-led researchTraceable outputsClient-controlled decisions
What we do

Quantitative expertise. Intelligent research systems.

We design and deliver bespoke quantitative research, analytical models and AI-enabled workflows across investment management, trading, portfolio construction and financial risk.

↗

Quantitative Investment Research

Research and evaluate systematic investment ideas using statistical and computational methods.

  • Alpha and factor research
  • Financial econometrics and time series
  • Strategy development and backtesting
  • Alternative data research
◫

Portfolio Intelligence & Optimisation

Develop portfolio construction and decision-support methods aligned with client mandates.

  • Asset allocation and optimisation
  • Factor exposure and attribution
  • Constraint-aware rebalancing
  • Scenario-based portfolio analysis
⌁

Financial Risk Analytics

Quantify exposures, evaluate vulnerabilities and investigate portfolio behaviour under stress.

  • VaR and Expected Shortfall
  • Stress and scenario testing
  • Liquidity and concentration risk
  • Model risk and sensitivity analysis
▤

Credit Risk Intelligence

Build analytical workflows for borrower assessment and credit portfolio monitoring.

  • PD, LGD and EAD modelling
  • Credit scoring and segmentation
  • Expected credit loss analytics
  • Early-warning indicators
⌇

Algorithmic Trading Research

Investigate systematic strategies with careful attention to robustness and implementation assumptions.

  • Statistical arbitrage and mean reversion
  • Momentum and regime research
  • Execution and transaction-cost analysis
  • Out-of-sample strategy evaluation
⟲

Financial AI Engineering

Develop custom agentic systems and computational infrastructure for financial research teams.

  • Multi-agent research workflows
  • Financial document intelligence
  • Automated analytical pipelines
  • Model evaluation and observability
Our approach

Agentic workflows. Quantitative execution. Independent scrutiny.

AI agents coordinate research tasks and interact with approved tools. Statistical and financial calculations are executed by tested computational methods, with validation and human review built into the process.

01

Define the research objective

Translate the client's investment, portfolio, risk or credit question into a scoped analytical plan.

02

Prepare and assess the evidence

Acquire authorised data, assess quality and document assumptions, provenance and limitations.

03

Coordinate specialist agents

Orchestrate research, data, modelling, portfolio, risk and reporting tasks through controlled workflows.

04

Execute quantitative methods

Run statistical models, machine learning, optimisation, simulations and backtests using validated code.

05

Validate and deliver

Review diagnostics, test robustness, preserve an audit trail and deliver reproducible outputs for client review.

ReproducibilityVersioned data, code, parameters and experiments.
TraceabilityDocumented sources, agent actions and model versions.
ValidationDiagnostics, robustness tests and independent checks.
Human oversightClient approval for consequential decisions and actions.
Who we work with

Built around institutional research challenges.

Our services can be configured for different investment mandates, analytical requirements, data environments and operating models.

Hedge Funds & Quantitative Funds

Alpha research, systematic strategies, portfolio diagnostics and research automation.

Asset Managers

Portfolio construction, allocation research, attribution and investment analytics.

Banks & Financial Institutions

Credit analytics, risk modelling, stress testing and model assessment.

Institutional Investors

Multi-asset research, exposure analysis and customised quantitative studies.

Credit Funds & Lenders

Borrower analytics, credit portfolio monitoring and early-warning workflows.

Family Offices

Investment research, portfolio risk analysis and bespoke decision support.

Engagement models

Specialist expertise, delivered in the way you need it.

We operate as a service provider, adapting the scope and delivery model to each client's requirements.

Work with Xenalys

Let's examine your next research challenge.

Whether you need a bespoke quantitative study, portfolio analytics, credit modelling or a customised agentic research workflow, we can discuss the problem, scope and appropriate approach.

Contact Xenalys  ↗
Xenalys provides research, analytical and technology services. Outputs are intended to support client research and decision-making; they do not constitute investment advice, a guarantee of investment performance, discretionary portfolio management or autonomous credit approval. Engagement scope and regulatory requirements are assessed individually.