13 Kannon Franchise Pricing Strategic Analytics Quantitative Strategist London Uk jobs in the United Kingdom
Senior Quantitative Analyst - Financial Modeling
Posted 1 day ago
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Key responsibilities include developing predictive models, implementing algorithmic trading strategies, and performing back-testing and performance analysis. You will collaborate closely with portfolio managers, traders, and risk managers to provide insights and support trading decisions. The ideal candidate will possess a Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science. Strong programming skills in languages like Python, C++, or R, along with experience in financial modeling libraries and databases, are essential. Familiarity with machine learning techniques applied to finance is a significant advantage. Excellent communication and presentation skills are required to articulate complex findings and recommendations to both technical and non-technical stakeholders.
We are looking for individuals with a proven track record of developing and implementing successful quantitative strategies in a fast-paced financial environment. The ability to work under pressure, manage multiple projects simultaneously, and adapt to evolving market conditions is crucial. This role offers a competitive compensation package, excellent career progression opportunities, and the chance to work in a stimulating and innovative environment. Successful candidates will be required to work a hybrid schedule, balancing remote flexibility with essential in-office collaboration in Brighton.
Location: Hybrid role based in Brighton, East Sussex, UK
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
You will be responsible for developing, validating, and implementing sophisticated financial models used for pricing, risk management, and trading strategies. This role requires a deep understanding of financial markets, advanced mathematical techniques, and strong programming skills. Your expertise will be critical in supporting the firm's strategic decision-making and ensuring robust financial practices.
Key responsibilities:
- Developing and implementing complex quantitative models for derivative pricing, risk management, and portfolio optimization.
- Conducting rigorous model validation and back-testing to ensure accuracy and reliability.
- Programming in languages such as Python, C++, or R for model development and implementation.
- Collaborating with traders, risk managers, and portfolio managers to understand their needs and provide quantitative solutions.
- Contributing to the research and development of new pricing methodologies and risk measures.
- Monitoring and analyzing market data to identify trends and opportunities.
- Ensuring compliance with regulatory requirements and internal policies.
- Documenting model specifications, methodologies, and assumptions thoroughly.
- Communicating complex quantitative concepts clearly to both technical and non-technical stakeholders.
- Mentoring junior quantitative analysts and sharing knowledge within the team.
- Assisting in the implementation of new trading systems and risk platforms.
- Performing ad-hoc analysis and research as required by senior management.
Senior Quantitative Analyst (Financial Modeling)
Posted 3 days ago
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Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
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.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
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.
- 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.
Lead Data Scientist - Financial Modeling
Posted 3 days ago
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Remote Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
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.
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Senior Data Scientist - Financial Modeling
Posted 3 days ago
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Job Description
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.
- 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.
Remote Senior Data Scientist - Financial Modeling
Posted 2 days ago
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Senior Manager, Pricing Analytics & Market Insights

Posted 6 days ago
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Job Description
**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._