2 of 2 Remote Front Office Jobs in Slough

Financial Services Overview Our client, a global financial services company, is seeking a Product Owner with a product-focused mindset to shape and deliver key IM capabilities across the front, middle and back office of their international marketing business. This hybrid role blends strategic product ownership with hands-on delivery, giving you the chance to act as the … customer, promoting user-centric design and continuous improvement Essential Skills & Experience 5+ years’ product management or business analysis experience in commodities or capital markets Strong track record working with front-office users in fast-paced environments Excellent communication skills across technical and non-technical audiences Proficient in SQL, Excel and dashboarding tools with strong analytical skills Experienced in … CTRM or trading platforms Understanding of risk concepts (market, credit, liquidity, operational) Package £85,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week in London office) Performance-based bonus scheme Comprehensive benefits package including healthcare, wellbeing support, and professional development opportunities Product Owner | £85,000 | London | Financial Services More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (Hybrid – 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a forward … Act as a key liaison for data-related initiatives and innovation. What We're Looking For: Capital Markets Knowledge Solid understanding of OTC Derivatives (any asset class), ideally with front office exposure. Familiarity with trade lifecycle, pricing, and capital markets processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power More ❯