At a Glance
- Tasks: Lead product strategy for quantitative investment technology and collaborate with global teams.
- Company: Join a forward-thinking firm committed to shared prosperity and an inclusive culture.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Ongoing applications accepted; great opportunity for career growth.
- Why this job: Shape the future of investment technology and make a real impact in finance.
- Qualifications: Bachelor's degree in a quantitative field; experience in product management preferred.
The predicted salary is between 75600 - 92400 £ per year.
Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. 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. This role sits within Investment Technology Product Management and serves as the product liaison to Ares' global quantitative teams, including Ares' Quantitative Research teams, recognising 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 prioritisation, solution design, delivery, adoption, and value realisation. The role will assess the process, data, model, and application landscape; distinguish common capabilities from strategy-specific requirements; and determine when solutions should be built, bought, reused, or adapted across teams.
The successful candidate will combine strong product judgement with sufficient quantitative and technical depth to understand models, data dependencies, investment context, and to work effectively with quantitative engineers and investment professionals.
Primary Functions & Responsibilities
- Quantitative Product Strategy & Roadmap: Define and maintain the product strategy and roadmap for quantitative investment capabilities, aligned with business priorities and the broader Investment Technology architecture. Translate the distinct objectives of Quantitative groups into sequenced product themes, clear outcomes, and an appropriate balance of shared and strategy-specific capabilities. 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. Prioritise opportunities through the firm's intake process based on strategic alignment, value, scalability, technical and data readiness, risk, and organisational readiness.
- Quantitative Domain Development: Shape products supporting returns forecasting, liquidity and cash-flow management, hedging and portfolio optimisation, 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. Build connections between quantitative teams and the wider firm, enabling knowledge transfer, common standards, and greater reuse of institutional expertise.
- Product Delivery, Adoption & Value: Champion a user-centric product approach, ensuring quant capabilities are designed around investor workflows and provide measurable improvements to investment decision-making. Partner with Quantitative Engineering and other technology teams to move solutions from hypothesis and pilot into scalable, resilient, and maintainable products/services. 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 within investment team members, quantitative engineers, risk professionals, and operations teams across regions.
Education & Qualifications:
Bachelor's degree required; advanced degree preferred. 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.
Experience 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, prioritisation, 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 organisation. Strong written and verbal communication, including the ability to simplify complex quantitative topics for senior stakeholders and make clear recommendations under uncertainty. High degree of ownership, judgement, curiosity, and comfort operating in an evolving global product organisation and liaising with quantitative teams that have distinct objectives and working practices. Collaborative and low-ego working style, with the confidence to challenge constructively and drive decisions across multidisciplinary teams.
Reporting Relationships: Global Head of Investment Technology. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Product Manager, Quantitative Product employer: aresmgmt
Ares Management is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth and development, Ares provides ample opportunities for professional advancement while fostering a culture of teamwork and innovation. Employees benefit from being part of a leading global asset manager, where they can engage with industry experts and contribute to impactful investment strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Quantitative Product
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like aresmgmt!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at aresmgmt would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at aresmgmt through your school's career services!
We think you need these skills to ace Product Manager, Quantitative Product
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Quantitative Product, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Quantitative Product position at aresmgmt. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at aresmgmt
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
