At a Glance
- Tasks: Lead product strategy for quantitative investment technology and collaborate with global teams.
- Company: Dynamic investment firm committed to diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
- Why this job: Shape the future of investment technology and make a real impact in finance.
- Qualifications: Bachelor's degree in a quantitative field and strong product management experience.
The predicted salary is between 72000 - 88000 £ per year.
Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Ares is seeking an Assistant Vice President-level Quantitative Product lead to help define and deliver the product strategy for quantitative investment technology across the firm's global investment platform. The role sits within Investment Technology Product Management and serves as the product liaison to Ares' global quantitative teams, including Ares' Quantitative Research teams, recognizing that these teams have distinct investment objectives, research methods, tooling requirements, and coverage across a diverse universe of assets, funds, portfolios, and other securities.
In addition to supporting the quant groups directly, the role will act as a catalyst for extending relevant quantitative tools, techniques, data practices, and analytical capabilities into other Ares asset classes and business lines. The individual will identify where proven approaches can be adapted and scaled horizontally, helping embed the quant teams more deeply into the wider organization and increasing the contribution of these functions to investment decision-making across the firm.
The Quantitative Product lead will own product activities from workflow discovery and use-case definition through prioritization, solution design, delivery, adoption, and value realization. The role will assess the process, data, model, and application landscape; The successful candidate will combine strong product judgment with sufficient quantitative and technical depth to understand models, data dependencies, investment context, and to work effectively with quantitative engineers and investment professionals.
Make evidence-based build, buy, reuse, adapt, and retire recommendations in partnership with investment teams, engineering, architecture, and Data & AI.
Workflow Discovery & Use-Case Development
- Map end-to-end workflows across research, data acquisition, signal generation, scenario analysis, portfolio construction, execution support, monitoring, and performance feedback.
- Develop well-structured use cases and product requirements covering the decision supported, users, data, value, risks, dependencies, controls, and adoption path.
- Prioritize opportunities through the firm's intake process based on strategic alignment, value, scalability, technical and data readiness, risk, and organizational readiness.
Quantitative Domain Development
- Shape products supporting returns forecasting, liquidity and cash-flow management, hedging and portfolio optimization, risk-adjusted asset allocation, predictive signals, portfolio construction, and monitoring.
- Define requirements for scalable ingestion and use of private/public company, market, reference, alternative, portfolio, and third-party datasets.
- Establish adoption plans with business sponsors and define and track measures such as decision-cycle time, research throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value.
Governance, Partnership & Culture
- Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review.
- Represent quantitative product priorities in Investment Technology, Data & AI, and use-case governance forums, providing transparent rationale for roadmap and investment decisions.
- Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions.
Education & Qualifications:
- Bachelor's degree required; Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research, physics, or finance strongly preferred.
- Relevant professional qualifications such as CFA, FRM, CQF, or equivalent are advantageous but not required.
- Demonstrated experience contributing to or owning products and platforms used by investment professionals for research, portfolio construction, risk, forecasting, execution support, or portfolio monitoring.
- Strong product management capability across discovery, process design, roadmap development, prioritization, requirements, agile delivery, testing, launch, adoption, and measurement.
General Requirements:
- 5-8 years of relevant experience across product management, quantitative investing, investment technology, data products, business analysis, or quantitative engineering within an asset manager, alternative investment firm, investment bank, or financial technology organization.
Location: London, UK
Type: Full time
Scrum Product Manager in London employer: Ares Management
Ares Management is an exceptional employer, offering a dynamic work environment in Greater London that prioritises diversity and inclusion. Employees benefit from robust personal growth opportunities and the chance to contribute meaningfully to strategic fundraising initiatives, all while being part of a collaborative team that values operational excellence and innovation.
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We think this is how you could land Scrum Product Manager in London
✨Tip Number 1: Tap Into Professional Networks
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We think you need these skills to ace Scrum Product Manager in London
Some tips for your application 🫡
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How to prepare for a job interview at Ares Management
✨Brush Up on Technical Skills
Make sure you're comfortable with key financial concepts, especially around forecasting, budgeting, and variance analysis. Sometimes, interviewers may throw in technical questions or case studies, so practicing these types of scenarios will help you shine!
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Familiarise yourself with Ares Management's financial objectives and any recent developments. During the interview, try to weave your understanding of their business model and challenges into your answers—this shows your genuine interest and alignment with their goals!
