Middle Office Analyst

Onyx Capital Group was founded, by traders, on the principles of expertise, vision and excellence. The company has rapidly grown to command across the entire spectrum of oil derivative products. Our aim is not just to be market leaders but to build a unique franchise that continuously pushes boundaries. We know that our success is derived from a total commitment to pursue excellence in both our people and our technology which we heavily invest in.

We are looking for a Middle Office Analyst to join our Risk team with experience in running reconciliations, P&L reporting and administration of trading platforms. The candidate will need to be proficient at problem solving and have good communication skills in order to identify discrepancies, establish what needs to be done and communicate this to various stakeholders.

The role also involves other day-to-day tasks including portfolio rebalance notifications, counterparty trade notifications, NAV calculations, managing trader and account permissions and liaising with the Finance department and traders to ensure correct P&L reporting.

Responsibilities:

• Daily T-1 position and trade reconciliation
• Calculation and reconciliation of Mark-to-Market and P&L
• P&L reporting to trading desks, Finance department and Management
• Onboarding of traders and set up of risk limits on multiple derivatives exchanges
• Automatization of operational processes
• Maintenance and development of PowerBI dashboards
• Monitoring of risk management tools and alerts

Requirements

• Working knowledge of Python, SQL and Excel VBA Macros. Minimum able to:
• Write and run simple SQL queries
• Write a Python module that imports and exports data from Excel
• Basic knowledge of P&L, Risk Management (Value-at-Risk) and Futures
• Basic knowledge of PowerBI a plus
• Bachelor's degree

Skills

• Developed Python-based tools to automate risk metrics (P&L, VaR, margin), reducing manual effort by 40% and increasing reporting speed.
• Conducted quantitative analysis on derivatives exposures, including pricing validation, scenario testing, and historical stress events.
• Built and maintained dashboards for real-time risk monitoring across 20+ trading desks, enhancing transparency and decision-making.
• Analysed broker vs. trader marks to ensure pricing accuracy and consistency in valuation methodologies.
• Collaborated with trading, quant, and model validation teams to improve data integrity and risk model performance