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Quantative product specialist

Slough
Develop
Product specialist
Posted: 7h ago
Offer description

Product Quantitative Specialist

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.


Hybrid Working (3 days onsite Tues-Thurs)
Up to £100,000 DOE + 20% Bonus + Share Scheme


We are supporting an innovative financial analytics business in the search for a Product Quantitative Specialist to join their growing team.
This is a unique hybrid role sitting between quantitative research, product, client engagement and commercial support. The business is looking for someone with strong quantitative/data science capability combined with excellent communication and stakeholder skills - not a pure software or data engineering profile.


The Role


You will:

* Support quantitative research and analytical initiatives
* Translate model outputs into clear client-facing insights
* Participate in presentations, client meetings and stakeholder discussions
* Support proof-of-concept and R&D work
* Work closely with product, engineering and commercial teams


The role is focused more on insight generation, product understanding and value demonstration rather than heavy production-level coding.


Required Skills & Experience
* Strong quantitative, analytics or data science background
* Excellent communication and presentation skills
* Ability to explain technical concepts to non-technical stakeholders
* Commercial awareness and stakeholder management experience
* Experience working with financial or investment-related data
* Comfortable working in client-facing environments
* Strong problem-solving and analytical thinking skills

Desired Skills & Experience


Experience within one or more of the following areas would be highly beneficial:

* Asset Management
* Private Equity
* Infrastructure Investing
* Benchmarking / Indexing
* Financial Analytics or Data Providers


Additional desirable xsngvjr experience:

* Exposure to quantitative modelling or financial research
* Certifications in finance, analytics or data science
* Experience supporting commercial or sales discussions
* Knowledge of investment products or financial markets

Additional Information
* First 6 months focused on learning products, models and client engagement
* Strong long-term progression opportunities across quant, product and commercial functions
* Collaborative international team environment

Interview Process
Initial InterviewHead of Engineering InterviewFinal Presentation Stage

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