Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Quantitative Analyst C# - Sports Betting

Client Server
St Albans
4 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst PhD SQL Python

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst - Capital Analytics, AVP

Quantitative Analyst

Junior Quantitative Analyst - Horse Racing

Quantitative Analyst (C# SQL Mathematics) St Albans / WFH to £55k
Are you data savvy, with C# and SQL coding skills combined with excellent mathematics?
You could be joining a technology driven trading company with a flat structure where you will get your voice heard and can make a real impact on the bottom line, earning significant bonuses.
As a Quantitative Analyst you'll work directly with the Front Office trading desk to facilitate their daily trades on the Sports betting side of the business; you'll develop and maintain various internal applications that are critical to trading performance and implement programs to improve efficiency and profitability including using mathematical models to calculate the expected chance of events happening in a sporting event.
You'll be using C# and SQL and will be encouraged to develop your skills in other programming languages and technology with mentoring and paid for training, you'll be supported to reach your full potential.
Location / WFH:
You'll join colleagues in St. Albans, Hertfordshire (parking available), with the flexibility to work from home two days a week.
About you:
You have achieved a 2.1 or above in a mathematical discipline, backed by strong A-level results in Mathematics
You can code with C# and SQL
You are familiar with and have an interest in quantitative finance and are keen to develop your career in this field
You have an interest in sports with a good knowledge of rules of most major sports e.g. football, cricket, tennis
You're collaborative and pragmatic
What's in it for you:
As a Quantitative Analyst you will earn a competitive package including:
Salary to £55k
Significant bonus earning potential (20-30%)
25 days holiday, rising to 30 after 2 years
Enhanced parental leave
Contributory pension scheme
Private Medical
Discounts for gym membership, travel and cinema
Sabbatical after 10 years of service
Apply now to find out more about this Quantitative Analyst (C# .Net SQL Mathematics) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.