JPMorgan Equity Exotics Product Controller 

United Kingdom, England, London 

220683827

Equites Product Control department supports a designated trading desk, producing independent daily instrument risk and PnL reports, commentary, analysis and collaborating with stakeholders across FO, MO, CFO, QR to remediate systemic/model/booking issues. You will become the expert for the desk's exposure and trading activity, giving you the ability to provide daily/weekly/monthly commentary on the trade drivers of revenue and risk utilisation. These will be to both FO & CFO senior management, and regulatory disclosures. You will work as a business partner, acting on behalf of CFO for new business initiatives and change management groups.

As an Equity Exotics Product Controller in Product Control department you will need skills in data analysis with Excel and Python. Part of your role will be involved in various working groups to support ad hoc analysis/reporting or developing new toolsets. For example, the team is developing both internally and alongside AI/ML teams tools from anomaly detection and classification prediction, to automated workflow and visualisations. Experience with pandas, scikit-learn, seaborn, Tableau, Excel, VBA, data annotation are beneficial.

Job responsibilities

• Assist with daily P&L/Risk exposure reporting and month-end close processes
• Provide detailed analysis and reporting on the financials to desk heads, business managers, and senior finance management
• Partner with the business to drive forth and implement robust controls and new business initiatives
• Drive coordination across various front & back office support functions to ensure resolution of control and reporting issues in an accurate and timely manner
• Serve as an analytical and project support resource for product control
• Handle various ad-hoc requests on a daily basis

Required qualifications, skills and capabilities

• Work experience within CFO, COO, Risk, Audit, or related area
• Part/Full qualification ACA, ACCA, CIMA, CFA, FRM etc
• Experience of equity derivative products and financial theory (greeks PNLX)
• Experience using Python (pandas, sckit-learn, seaborn), Tableau, Excel, VBA
• Strong analytical skills and attention to detail including a strong control focus
• Excellent communication skills and ability to develop strong working relationships

Preferred qualifications, skills and capabilities

• Degree/Master's in STEM or demonstrable data analysis experience