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Axioma Jobs (NOW HIRING)

Develop an operating and servicing model to integrate the Alpha platform with risk, performance and analytics - across Axioma/Factset/MSCI/BBG Port and Alpha products such as CR Analytics and Opturo.

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How much do axioma jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for axioma in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are some common challenges when working as a risk analyst using Axioma’s portfolio risk management tools?

Risk analysts using Axioma often face the challenge of interpreting complex risk models and translating quantitative outputs into actionable insights for portfolio managers. Balancing the technical demands of the software with the need to communicate findings clearly to non-technical stakeholders is essential. Additionally, keeping up with frequent software updates and evolving market data can require continuous learning and adaptability. Collaboration with portfolio managers, IT teams, and compliance departments is also a key aspect of the role.

What is an Axioma and what do professionals with this title do?

Axioma is not a traditional job title, but rather the name of a company specializing in risk management, portfolio construction, and investment analytics solutions for the financial industry. Professionals working at Axioma typically develop, implement, or support advanced software tools that help investment managers assess and manage risk, optimize portfolios, and comply with regulatory requirements. Their roles may include quantitative analysis, software engineering, client support, and product management, all focused on providing data-driven insights for investment decisions.

What are the key skills and qualifications needed to thrive as an Axioma Risk Analyst, and why are they important?

To thrive as an Axioma Risk Analyst, you need a solid background in finance, mathematics, or statistics, often supported by a relevant degree. Familiarity with Axioma risk management software, data analysis tools like Python or R, and proficiency in Excel are typically required, along with certifications such as CFA or FRM being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for accurately assessing financial risk and supporting sound investment decisions.

What is the difference between Axioma vs Quantitative Analyst?

AspectAxiomaQuantitative Analyst
Required CredentialsFinance or mathematics degree, certifications like CFA or CQFFinance, mathematics, or computer science degree, often CFA or FRM
Work EnvironmentFinancial firms, asset management, risk management teamsInvestment banks, hedge funds, asset management firms
Employer & Industry UsagePrimarily in risk modeling and portfolio optimizationModel development, data analysis, trading strategies
Common Search & ComparisonYesYes

While both Axioma and Quantitative Analysts work in finance and require similar credentials, Axioma typically refers to a specific risk management software platform used by firms, whereas a Quantitative Analyst is a professional who develops models and strategies. The roles often overlap in skills but differ in focus: Axioma is a tool, and the Quantitative Analyst is a role that may utilize such tools.

More about Axioma jobs
Infographic showing various Axioma job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 87% Physical, 11% Hybrid, and 2% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Perm Position - Software Engineer

Perm Position - Software Engineer

1 point system

Plano, TX • On-site

Contractor

Posted 20 days ago


Job description

The Opportunity:

You will support Charles River–driven workflows across Portfolio Engineering, Optimization, Guidelines, Implementation, Trading, and Trade Operations. You will collaborate with Portfolio Managers, Traders, and Technology teams to implement CRD enhancements, API integrations, portfolio optimization workflows, and automation solutions. You'll report to the AVP – PMG Technology Services

The Day-to-Day:

  • Lead end-to-end delivery of CRD enhancements: requirements, design, CRD configuration, integrations, testing, deployment, and ongoing support
  • Configure Manager Work Bench or Central Work Bench layouts, workflows, rules, and result sets
  • Hands-on work with the Charles River API Framework, including:
    • Frontend APIs – UI workflows, triggers, CRD interaction points
    • Backend APIs – data calls, order submissions, guideline checks, reference data, trading flows
  • Build and support integration workflows using REST APIs, services, and messaging frameworks
  • Apply working knowledge of portfolio optimization concepts (risk models, constraints, exposures, and transaction cost analysis)
  • Familiarity with industry optimization platforms including Axioma (portfolio construction, risk model integration) and OMEGA Point (optimization and risk analytics tools)
  • Collaborate with Portfolio Engineering teams to support optimization workflows feeding CRD
  • Ensure Start‑of‑Day readiness for CRD and support ongoing system stability
  • Translate our requirements into detailed functional and technical specifications, user stories, diagrams, and interface documentation

Your Qualifications:

  • 10+ years experience in Application Development:
    • Advanced SQL – complex queries, performance tuning
    • Java or C# – ability to interpret, collaborate, and support integrations
    • REST API integration, testing, and troubleshooting
  • 5+ experience in:
    • Python Programming
    • Investment/Wealth Management industry
  • 3+ years’ experience in CRD or any other Order Management System (OMS) Implementation / Customization , Workbench (Manager or Central) configuration experience
  • Experience with Order Management System (OMS) Batch Automation, including monitoring and exception handling
  • Hands-on experience with the Order Management System API Framework (frontend and backend)
  • Familiarity with portfolio optimization concepts (risk factors, constraints, optimization models)
  • Experience with optimization tools such as Axioma and OMET/Gap Point.
  • Experience with Order Management workflows, markets, and trading processes (Equities & Fixed Income)
  • Experience using Agile SDLC, process diagramming, and workflow mapping.
  • Bachelor's degree in finance, Economics, Computer Science, Engineering, Math, or equivalent