Financial Engineer – Derivatives and Structured Products Valuation
Financial Engineer – Derivatives and Structured Products Valuation

Financial Engineer – Derivatives and Structured Products Valuation

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Deliver premium structuring and valuation services to clients in a dynamic financial environment.
  • Company: Join Bloomberg, a leader in providing trusted financial solutions and data-driven insights.
  • Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
  • Why this job: Be part of a team that values transparency and accuracy while making a real impact in finance.
  • Qualifications: Master’s degree in a technical field; experience in financial engineering or model validation is essential.
  • Other info: Familiarity with Bloomberg platforms and programming skills in Python or C++ are highly desirable.

The predicted salary is between 43200 - 72000 £ per year.

Location: London

Business Area: Product

Ref #: 10042702

At Bloomberg, we provide trusted valuation, structuring, and risk solutions that empower financial professionals to assess risk accurately and navigate the markets with confidence. Our fully integrated workflow supports derivatives and structured products across multiple asset classes, powered by high-quality data and sophisticated models. Transparency, accuracy, and efficiency are at the core of what we do.

What's the role?

This role focuses on delivering premium structuring and valuation services to clients. It involves providing models that offer transparent valuation insights. To perform well in this position, a strong understanding of bespoke derivatives term sheets, industry-standard valuation models, and established "street practices" used for security valuation and portfolio risk analysis is important. The ability to select and apply suitable pricing models, coupled with knowledge of model limitations and appropriate adjustments, is crucial in delivering accurate valuations. A discerning eye for assessing the reasonableness of model results is of great value. In this role, interactions with a diverse range of stakeholders are expected, including external clients such as traders, sales teams, risk managers, and institutional investors, as well as internal teams comprising sales specialists, developers, and quants. Strong communication skills are expected to build effective relationships and provide clear explanations of complex concepts.

You’ll need to have:

  • A Master’s degree in a technical or quantitative field (e.g., Mathematics, Physics, Engineering, or Quantitative Finance); a PhD or equivalent experience is a plus.
  • Experience in a front-office, financial engineering, or model validation role, with expertise in derivatives and structured products, including pricing, valuation, and risk management.
  • Strong quantitative and analytical skills, with a deep understanding of market conventions, derivative structures, and risk practices.
  • Excellent communication and collaboration skills, with the ability to explain complex financial concepts in a fast-paced, cross-functional environment.

We'd love to see:

  • Experience with Bloomberg and other pricing platforms, along with knowledge of Python, or C++.
  • Familiarity with FX or Credit asset classes; while Interest Rates, Inflation, Equities, or other asset classes are also welcome.

Financial Engineer – Derivatives and Structured Products Valuation employer: Bloomberg

At Bloomberg, we pride ourselves on being an exceptional employer, particularly for the Financial Engineer role in our vibrant London office. Our collaborative work culture fosters innovation and professional growth, offering employees access to cutting-edge resources and a diverse network of industry experts. With a commitment to transparency and excellence, we provide unparalleled opportunities for career advancement while ensuring a supportive environment that values each team member's contributions.
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Contact Detail:

Bloomberg Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Financial Engineer – Derivatives and Structured Products Valuation

Tip Number 1

Familiarise yourself with Bloomberg's products and services, especially those related to derivatives and structured products. Understanding their valuation models and how they apply to real-world scenarios will give you an edge in discussions during interviews.

Tip Number 2

Network with professionals in the financial engineering field, particularly those who work with derivatives. Attend industry events or webinars to connect with potential colleagues and gain insights into current trends and practices that could be beneficial for your role.

Tip Number 3

Brush up on your programming skills, particularly in Python or C++. Being able to demonstrate your technical abilities in these languages can set you apart from other candidates and show your readiness to tackle complex valuation models.

Tip Number 4

Prepare to discuss specific examples of how you've applied quantitative analysis in previous roles. Be ready to explain your thought process and the impact of your work on valuation and risk management, as this will showcase your expertise and problem-solving skills.

We think you need these skills to ace Financial Engineer – Derivatives and Structured Products Valuation

Quantitative Analysis
Financial Modelling
Derivatives Pricing
Structured Products Knowledge
Risk Management
Market Conventions Understanding
Model Validation
Python Programming
C++ Programming
Communication Skills
Stakeholder Engagement
Analytical Skills
Attention to Detail
Collaboration Skills
Problem-Solving Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Financial Engineer position. Familiarise yourself with derivatives, structured products, and valuation models to tailor your application effectively.

Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have in financial engineering, model validation, or front-office roles. Be specific about your expertise in derivatives and structured products, as well as any relevant projects you've worked on.

Showcase Technical Skills: Mention your proficiency in programming languages like Python or C++, and any experience with Bloomberg or other pricing platforms. Highlighting these skills will demonstrate your technical capability to handle the role's demands.

Communicate Clearly: Since strong communication skills are essential for this role, ensure that your application clearly articulates complex financial concepts. Use straightforward language and provide examples of how you've successfully communicated with diverse stakeholders in the past.

How to prepare for a job interview at Bloomberg

Showcase Your Technical Knowledge

Make sure to brush up on your understanding of bespoke derivatives term sheets and industry-standard valuation models. Be prepared to discuss specific examples from your experience that demonstrate your expertise in pricing, valuation, and risk management.

Communicate Clearly

Since strong communication skills are essential for this role, practice explaining complex financial concepts in simple terms. This will help you connect with interviewers who may not have a technical background.

Demonstrate Analytical Skills

Be ready to showcase your quantitative and analytical skills during the interview. You might be asked to solve problems or analyse scenarios related to derivatives and structured products, so think through your approach beforehand.

Familiarise Yourself with Bloomberg Tools

If you have experience with Bloomberg or other pricing platforms, make sure to highlight it. Familiarity with these tools can set you apart, so consider discussing how you've used them in past roles to enhance your valuation processes.

Financial Engineer – Derivatives and Structured Products Valuation
Bloomberg
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  • Financial Engineer – Derivatives and Structured Products Valuation

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-04-20

  • B

    Bloomberg

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