Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Developer

Zanders
City of London
6 days ago
Create job alert

Join to apply for the Quantitative Developer role at Zanders.

Zanders is a specialist quantitative risk consultancy helping banking clients develop, enhance, and validate sophisticated risk models and analytical frameworks, providing them with a competitive edge. Our consultants combine exceptional quantitative skills with a deep understanding of financial risk management, delivering complex analytical projects in a business‑oriented, flat‑hierarchy culture across offices in the UK, Europe, US, Middle East and Asia.


Your role

As a Senior Consultant, you will work on a variety of challenging projects covering the design, development, implementation, testing and validation of solutions and models across the trading book spectrum, including market risk, counterparty credit risk, XVA, margin models and derivatives pricing. Off‑project you’ll support business development, knowledge management and act as a trusted advisor for our clients.


Responsibilities

  • Develop new quantitative solutions and models for clients;
  • Extend Zanders valuation and risk software suite;
  • Perform risk management and OTC derivatives valuation calculations;
  • Provide support on different quantitative topics.

Qualifications & Attributes

  • Strong knowledge and at least 3‑year experience developing solutions (from design to implementation) in C/C++; knowledge of CUDA desirable;
  • 3‑5 years of experience with familiarity in financial markets and its most important developments; familiarity with derivatives pricing and risk calculations is a plus;
  • Education in a quantitative field (MSc or PhD advantageous), preferably financial mathematics, computer science or software engineering;
  • Passionate about developing knowledge in financial markets, programming and mathematics;
  • Strong communication skills and professional fluency in English;
  • Pro‑active, positive attitude and collaborative team player.

Benefits

  • A hybrid work environment that promotes a healthy work‑life balance;
  • Participation in the Zanders bonus scheme;
  • Secure your future with a pension scheme;
  • 28 paid holiday days;
  • A laptop and an iPhone;
  • An entrepreneurial culture that values personal development, with ample room for initiatives;
  • Expertise in your chosen field, building skills rapidly alongside diverse clients and consultants;
  • A truly collegiate environment with enthusiastic and helpful colleagues, fostering career excellence in Treasury, Risk or Technology;
  • An international and fun working environment, cultural night events, annual Zanders trip to a surprise location in Europe and many more exciting experiences.

About Zanders

We are a global financial consulting firm focused on Treasury, Risk and Technology. From our HQ in the Netherlands, we have expanded across Europe, the UK, USA and Asia, providing innovative solutions that embrace the latest technological advancements to multinational corporations, financial institutions, public sector entities and NGOs. We invest in our people for an inclusive atmosphere, where freedom, fun, and collaboration are pivotal. We believe that diversity, equity and inclusion are essential to a strong and sustainable business, fostering a culture that values and respects diversity in all forms. Join us to shape the future of consultancy and make a meaningful impact in Treasury, Risk and Technology.


By applying for a role at Zanders, you give us approval to use and retain your personal details. Considering Zanders’ nature of enterprise, you are expected to behave to a high moral standard. A Pre‑Employment Screening (PES) by a third party is part of the application process.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer – Core Data | Prime Brokerage – Digital Assets

Quantitative Developer – Core Data | Prime Brokerage – Digital Assets

Quantitative Developer

Quantitative Developer

Quantitative Developer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.