14 Kannon Franchise Pricing Strategic Analytics Quantitative Strategist London Uk jobs in the United Kingdom

Our client, a leading financial institution, is seeking an experienced Senior Quantitative Analyst with expertise in financial modeling to join their prestigious team. This role is fully remote, offering a unique opportunity to contribute to sophisticated financial strategies from anywhere. You will be responsible for developing, implementing, and validating complex quantitative models for pricing, risk management, and trading strategies across various asset classes. Key responsibilities include designing algorithms, performing rigorous statistical analysis, and coding these models in languages such as Python, C++, or R. You will collaborate closely with traders, risk managers, and other quantitative analysts to understand market dynamics and translate business needs into effective analytical solutions. A deep understanding of financial markets, derivative pricing, stochastic calculus, and econometrics is essential. The ideal candidate will hold a Master's or PhD in a quantitative field (e.g., Finance, Mathematics, Physics, Computer Science) and possess a strong track record of building and deploying quantitative models in a live trading environment. Experience with machine learning techniques applied to finance is a significant advantage. This role requires excellent analytical, problem-solving, and communication skills, enabling you to present complex findings clearly to both technical and non-technical stakeholders. We are looking for a self-starter who thrives in a challenging, fast-paced, and remote-first environment, contributing to financial innovation for our global client base. This position supports operations in **Southampton, Hampshire, UK**, remotely.

Our client is seeking a highly skilled Senior Quantitative Analyst with expertise in financial modeling to join their prestigious Banking & Finance division. This is a fully remote role, offering an exceptional opportunity to leverage your analytical prowess and contribute to complex financial strategies from anywhere in the UK.

You will be responsible for developing, implementing, and validating sophisticated quantitative models used for pricing, risk management, trading strategies, and financial forecasting. This includes building models for derivatives, fixed income, equities, or credit, depending on the specific needs of the business. You will collaborate closely with portfolio managers, traders, risk managers, and other stakeholders to understand their analytical needs and deliver robust solutions. Key responsibilities also involve conducting rigorous back-testing and stress-testing of models, ensuring their accuracy and reliability under various market conditions.

The ideal candidate will have a Master's degree or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering. You should possess significant experience in quantitative finance, with a proven track record of building and deploying complex financial models in a real-world setting. Exceptional programming skills are essential, particularly in languages like Python, C++, R, or MATLAB, along with proficiency in numerical methods and statistical analysis. A deep understanding of financial markets, instruments, and regulatory requirements is crucial. Strong communication and presentation skills are necessary to explain complex quantitative concepts to non-technical audiences. You must be detail-oriented, possess strong problem-solving abilities, and be capable of working independently in a remote environment while collaborating effectively with a global team. This role offers the chance to work on challenging financial problems, make a significant impact on investment strategies, and contribute to the firm's success in a dynamic and rewarding sector.

Our client, a leading financial services firm, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team. This hybrid role offers a blend of remote work flexibility and collaborative office presence in **Sunderland, Tyne and Wear, UK**. As a Senior Quantitative Analyst, you will be responsible for developing, implementing, and validating complex financial models used for risk management, pricing, trading strategies, and portfolio optimization. You will work closely with trading desks, risk management, and technology teams to provide quantitative insights and solutions to business challenges. Key responsibilities include designing sophisticated algorithms, building predictive models using statistical techniques and machine learning, and performing rigorous back-testing and stress-testing of models. You will also be involved in the continuous improvement of existing models, ensuring their accuracy, robustness, and compliance with regulatory requirements. The ideal candidate will possess a deep understanding of financial markets, derivative pricing, econometrics, and advanced statistical methods. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential, along with experience in data analysis and visualization tools. We are looking for a proactive, detail-oriented individual with exceptional problem-solving abilities and a strong academic background. A Master's or PhD in a quantitative field such as Finance, Mathematics, Physics, Statistics, or Computer Science, coupled with significant relevant industry experience, is required. You should be adept at communicating complex quantitative concepts to both technical and non-technical audiences. This is an excellent opportunity to contribute to cutting-edge financial analytics and drive strategic decision-making within a reputable organization.

Key Responsibilities:

• Develop, implement, and validate sophisticated quantitative models for financial markets.
• Design and implement algorithms for pricing, risk management, and trading strategies.
• Utilize statistical modeling, machine learning, and econometrics to analyze financial data.
• Perform rigorous back-testing, stress-testing, and sensitivity analysis of models.
• Collaborate with business stakeholders to understand requirements and deliver data-driven solutions.
• Communicate complex quantitative findings to technical and non-technical audiences.
• Ensure model compliance with regulatory requirements and internal policies.
• Contribute to the continuous improvement of quantitative methodologies and infrastructure.

Required Qualifications:

• Master's or PhD in Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• Minimum of 5 years of relevant experience in quantitative analysis within the financial services industry.
• Proven expertise in financial modeling, risk management, and/or algorithmic trading.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong knowledge of financial markets, derivatives, and econometrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work effectively in a hybrid team environment.

Our client, a prestigious financial institution, is looking for a Lead Data Scientist with a specialization in financial modeling to join their cutting-edge analytics division. This is a fully remote role, offering the chance to work from anywhere within the UK. You will be responsible for developing and implementing advanced statistical and machine learning models to drive strategic decision-making in areas such as risk assessment, fraud detection, algorithmic trading, and portfolio optimization. Your expertise will be crucial in analyzing large, complex financial datasets, identifying key trends, and building predictive models that have a direct impact on the company's performance and profitability. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A strong command of Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, is essential. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is also required. You should have a proven track record of successfully deploying machine learning models into production environments and a deep understanding of financial markets and instruments. Responsibilities include leading a team of data scientists, mentoring junior members, defining project roadmaps, and communicating complex findings to both technical and non-technical stakeholders. Excellent communication and presentation skills are vital for this role. This position requires a proactive, analytical, and detail-oriented individual who is passionate about leveraging data to solve challenging financial problems. The opportunity to shape the future of financial analytics in a remote-first environment makes this an exceptional career move.

Our client, a leading financial institution, is seeking a talented and experienced Remote Quantitative Analyst to join their sophisticated risk management and financial modeling team. This role is entirely remote, enabling you to contribute from anywhere in the UK. You will be responsible for developing, implementing, and validating complex quantitative models used for pricing financial derivatives, assessing market risk, and optimizing investment strategies. This position requires a deep understanding of financial markets, advanced statistical techniques, and strong programming skills. You will work closely with portfolio managers, traders, and risk officers, providing crucial analytical support and insights. The successful candidate will play a vital role in enhancing the firm's quantitative capabilities and ensuring regulatory compliance through robust model governance.

Key responsibilities include:

• Designing, developing, and testing quantitative models for financial instruments such as equities, fixed income, currencies, and commodities.
• Implementing pricing models, risk management systems, and algorithmic trading strategies.
• Performing rigorous backtesting and validation of models to ensure accuracy and reliability.
• Analyzing market data and identifying trends to inform model improvements and new strategy development.
• Collaborating with IT and development teams to integrate models into production environments.
• Contributing to the documentation of model methodologies, assumptions, and limitations.
• Staying current with academic research and industry best practices in quantitative finance and machine learning.
• Presenting complex analytical results clearly and concisely to both technical and non-technical stakeholders.
• Ensuring models adhere to internal risk policies and external regulatory requirements.
• Monitoring model performance and conducting periodic reviews and recalibrations.

The ideal candidate will have a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science, with at least 5 years of relevant experience in quantitative finance. Exceptional programming skills in languages like Python, C++, or R are essential. A strong foundation in stochastic calculus, time series analysis, and numerical methods is required. Experience with financial databases (e.g., Bloomberg, Refinitiv) and cloud platforms is highly desirable. The ability to work independently in a remote setting, manage multiple projects simultaneously, and communicate effectively across different teams is critical. This is an exciting opportunity for a quantitative mind to thrive in a challenging and rewarding remote environment.

Our client, a leading innovator in the financial services sector, is seeking a highly skilled Senior Data Scientist to enhance their predictive modeling capabilities. Based in Leicester, Leicestershire, UK , this hybrid role offers the opportunity to blend remote work convenience with essential in-office collaboration. You will be instrumental in developing, implementing, and validating sophisticated data models for financial forecasting, risk assessment, and strategic decision-making. Leveraging advanced statistical techniques and machine learning algorithms, you will drive data-driven insights across the organization.

Responsibilities:

• Design, develop, and deploy advanced statistical and machine learning models for financial applications such as credit scoring, fraud detection, risk management, and customer analytics.
• Clean, process, and transform large datasets from various sources to prepare them for modeling.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Validate model performance and continuously iterate to improve accuracy and efficiency.
• Collaborate with business stakeholders, including finance, marketing, and product teams, to understand their needs and translate them into data science solutions.
• Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data governance and best practices within the organization.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Ensure model explainability and adherence to regulatory requirements in the financial industry.

Qualifications:

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on financial modeling and analytics.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and techniques.
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with SQL and working with relational databases; familiarity with big data technologies (e.g., Spark) is a plus.
• Excellent problem-solving skills and the ability to think critically.
• Exceptional communication and presentation skills, with the ability to convey technical concepts effectively.
• Proven ability to work collaboratively in a hybrid team environment.
• Knowledge of financial products, markets, and regulations is highly desirable.

This is an exciting opportunity for a driven data professional to apply their expertise in a challenging and impactful role within the dynamic financial sector.

Our client, a leading global investment

**Job ID:** 5527
**Alternate Locations:** Remote
**Location:** Remote, United Kingdom
**Reports to:** Head of Analytics, Insights & Category
**Contract type:** Permanent
**Your Role in a Nutshell**
As a Senior Manager, Pricing Analytics & Market Insights, you will foster a culture of innovation and growth, working closely with cross-functional teams, including marketing, finance, and operations, to deliver actionable insights that enhance business growth and market positioning. You'll also play a pivotal role in influencing organizational development and strategic decision-making across the business.
We will help you achieve your goals and develop by providing regular feedback and access to online training courses.
**Your Key Responsibilities:**
+ Lead the development and execution of data models to assess the impact of pricing strategies and promotional campaigns.
+ Identify opportunities for optimization to maximize profitability and market share.
+ Oversee the collection and analysis of market data, competitive intelligence, and customer behavior trends and use these insights to support strategic decision-making and improve market positioning.
+ Lead the generation of insights from complex datasets to inform business strategy.
+ Collaborate with the regional analytics team to enhance data infrastructure, ensuring that advanced tools and methodologies are in place for effective data collection, analysis, and reporting.
+ Influence and mentor cross-functional teams in adopting best practices for data utilization and insight-driven decision-making.
+ Design and implement regular reports and dashboards to track company performance, pricing strategies, promotional activities, and market trends.
+ Act as a thought leader within the organization by sharing knowledge, trends, and best practices related to analytics, market intelligence, and data-driven decision-making.
**What You'll Need**
**Minimum:**
+ University degree in Business, Economics, Statistics, Data Science, or a related field.
+ Extensive background in analytics, market intelligence, or a similar role, with a focus on pricing and promotion.
+ Strong knowledge of advanced analytics and business intelligence platforms (e.g. Excel, Power BI).
+ Proven ability to translate data into actionable business insights.
+ Excellent communication and influencing skills, with the ability to engage stakeholders at all levels
**Your advantage:**
+ Demonstrated ability to foster a collaborative, data-driven culture within cross-functional teams.
+ Knowledge of Python and other programming languages.
+ Strong project management and prioritization skills.
+ Detail-oriented, with a focus on continuous improvement and problem-solving.
**What You Gain**
Newell Brands has a strong footprint in the EMEA region, with several thousand employees spread over many corporate offices and manufacturing facilities. You might recognise some of our iconic brands, like Parker, Sistema, Spontex, Crockpot, NUK, Coleman, and Yankee Candle, to name a few.
Join us and benefit from:
+ Remote working system
+ Unlimited access to LinkedIn Learning - 17,000+ courses for your professional and personal development
+ Corporate Citizenship Philosophies - environmentally sustainable and socially sensitive business practices
+ Discounts on some of our products from brands Parker, DYMO, Sharpie, Contigo, and others
+ Employee Referral Program - an opportunity to get a bonus
+ Global Employee Assistance Program - confidential support for you and your family, complementing our commitment to your well-being at work and beyond
+ - paid time-off for charity activities dedicated for local communities right where you live/work
+ Access to Employee Resource Groups that foster an inclusive culture
+ Core Values: Integrity, Teamwork, Passion for Winning, Ownership, Leadership
**Are you interested?**
If so, please click on "Apply Now" on this site and upload your CV.
If your application is shortlisted, our recruiter will invite you for an initial interview.
_By submitting your CV you acknowledge having read Newell Brands' Privacy Statement for Job Applicants available at_ _ _If you wish to be considered also for other suitable positions with the company, please explicitly indicate so on your CV/motivation letter._

 
The Role: Data Analytics Consultant
Location: Bristol
Hybrid Working : Yes

Life In the Experience Delivery team

In the Experience Delivery team we look after large scale end to end UX, Design and build projects. Our team is made up of creative technologists, UX Designers and Strategic UX leaders. We work with the wider Nomensa Studio team to provide leadership and guidance to large multidisciplinary teams as they take clients problems from research and problem framing through to cutting edge design and technology implementations. Both strategic and creative thinking are at the centre of everything we do whilst we also keep an eye on delivering quality for our clients.

The team is made up of a Head of Experience Delivery with a layer of Principal consultants leading and mentoring senior and junior team members. The team have regular practice groups and surgery sessions to collaborate and learn from one another as well as training and inspirational sessions covering disciplines across the range of UX, Design, SEO and Tech. SEO is at the heart of this process as we strive to deliver exceptional experiences that work for all users.

We're advertising two roles within this space, SEO Consultant and Data Analytics Consultant. However, this is a 'go to market' approach, we'll only be hiring one of the roles. If you're interested in both, don't worry about applying twice, you can select 'yes' consider me for both roles in the application form (which only takes a few minutes to complete ).

About Nomensa

Nomensa is a strategic experience design agency based in Bristol, London, and Amsterdam. Combining our experience in psychology, interaction design and technology, we create world class digital experiences.  

We work closely with our extensive range of clients across multiple and diverse sectors to design award winning inclusive digital experiences that help millions of people. From blue chips to start-ups, from Deliveroo to the NHS, whatever the sector, we deliver experience excellence.  

We are part of the Sideshow Group, a global community of digital and marketing agencies with an ambitious growth agenda. We get to collaborate, share knowledge and learn. This means potential for all sorts of future development opportunities and variety of work across the Group.   

We hybrid work so you get to come together in the office to collaborate and connect, as well as have some working from home time if that's your preference. We also have other patterns support work/life balance (for example, part-time contracts, nomad working, sabbaticals etc).   

Requirements

What you’ll be doing

• Implement and maintain advanced tracking setups using GA4 and GTM to collect, analyse, and interpret data.
• Develop custom reports and dashboards in DataStudio to visualise data trends and provide actionable insights.
• Conduct in-depth analysis using BigQuery to uncover patterns, trends, and opportunities for optimisation.
• Collaborate with cross-functional teams to define key metrics, KPIs, and data collection strategies aligned with business objectives.
• Troubleshoot tracking issues, recommend solutions, and ensure data accuracy and consistency.
• Gaining an understanding of what our clients need by means of requirements elicitation, analytics discoveries, reporting and assessments
• Training on the tools and techniques we us along with key User Experience concepts
• Keep up-to-date with trends and best practice in analytics and the wider digital landscape
  

What we’re looking for

We are looking for an Analytics Consultant adept at thriving within a consultancy driven environment, where effective communication forms the bedrock of successful client engagement.  

Enthusiasm for pioneering analytics methodologies, coupled with a understanding of technology's role in driving actionable insights. The Analytics Consultant is entrusted with not only steering the design and delivery of analytics solutions but also championing innovative approaches to data analysis that resonate with clients' strategic objectives and business goals. 

The successful candidate must of course come from an analytics background, demonstrating fluency in harnessing data insights to drive strategic decisions and deliver bespoke client solutions. They will be passionate about designing and delivering innovative solutions.  

Ability to articulate complex analytics findings in a comprehensible manner is key. The ideal candidate will place a premium on clear, succinct communication, fostering alignment between clients and internal stakeholders to confidently gather requirements.  

Someone who can build robust data pipelines and configure Google tools such as GTM, GA4, BigQuery and Data Studio. 

Working with us will also provide opportunity to actively engage in thought leadership initiatives and events, serving as a representative of both themselves and Nomensa. 

Benefits

Our benefits for UK employees include:  

• Time to recharge: 25 days holiday (rising to 30 with length of service), your birthday off, holiday exchange scheme (up to 5 days), Summer Fridays.  
• Health & Wellbeing: BUPA cashback scheme, BUPA medical insurance (with service), 24/7 Employee Assistance Programme cycle to work scheme, Mental Health 1st Aiders 
• Financial wellbeing: competitive salaries, company pension contribution, , life insurance, financial wellbeing service, employee discount scheme 
• Life beyond work: time off for charity work, involvement in our employee groups on ED&I, mental health, environment, and regular socials and fun events arranged by our Chief Happiness Officers! 
  

The Application Process:   

Applicants will be shortlisted and selected for a short call with our Talent Acquisition Specialist. You'll talk experience, ambitions and salary expectations. From there the interview process will consist of two stages.  

If you’re excited about working for us but don’t have all the relevant skills, we would still love to hear from you. You may have relevant experience or transferable skills. We are all the better because of the many diverse backgrounds our employees have so don't let not ticking every box hold you back, give it a go! 

Interview Adjustments  

We do everything possible to create the best experience for candidates. We appreciate interviews can be challenging, so, please let us know if any adjustments will make you more comfortable or confident. For example, provide extra time or flexibility on assessments, have a chaperone on the interview, supply questions up front, or anything else that might help your application.   

Our Talent Acquisition Specialist Corrie ( ) can help with any questions during the recruitment process.   

Nomensa is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.