Ambitious Mathematics graduate wanted for this Quantitative Analyst position. The investment management industry stands at a fascinating crossroads where sophisticated mathematical theory meets real-world market dynamics. This Quantitative Analyst role offers recent graduates with exceptional analytical capabilities the chance to apply advanced statistical methods and machine learning techniques within a genuine fund environment, moving beyond theoretical frameworks into hands-on portfolio analytics and risk assessment. About the Firm A boutique investment management firm operating within London's competitive asset management landscape, this company is evolving its strategic direction with a focus on quantitative approaches to credit analysis. Having previously concentrated on equity strategies, the organisation recognises that mathematical rigour and computational skills will prove essential as it transitions its investment methodology. The culture values intellectual curiosity, analytical precision, and the ability to translate complex mathematical concepts into actionable investment insights. The Role As a Quantitative Analyst, you'll work directly with portfolio managers and senior investment professionals to develop analytical frameworks that support credit assessment and portfolio construction. This position represents a genuine opportunity to shape analytical processes during a pivotal strategic transition, where your quantitative skillset will contribute materially to the firm's evolving investment approach. You'll bridge the gap between theoretical finance and practical application, developing your understanding of fixed income markets whilst leveraging your mathematical and programming expertise. Your core responsibilities will include:Building and refining quantitative models for credit risk assessment, applying statistical techniques to evaluate issuer creditworthiness and default probabilityDeveloping Python-based analytical tools to process and analyse fixed income market data, creating visualisations that communicate complex risk metrics to investment teamsConducting backtesting and validation of quantitative strategies, documenting methodology and results with academic rigourSupporting portfolio construction by analysing correlation structures, duration profiles, and yield curve dynamics across credit instrumentsCollaborating with investment professionals to translate quantitative findings into practical investment recommendationsResearching emerging quantitative techniques applicable to credit markets, staying current with academic literature in financial mathematicsEssential qualifications and experience:Strong academic background in Mathematics, Statistics, Physics, or related quantitative discipline (First Class or high 2:1 honours degree)Postgraduate qualification in Financial Mathematics, Quantitative Finance, or similar field demonstrating specialised knowledgeDemonstrable programming ability in Python, with experience using libraries such as NumPy, Pandas, and scikit-learn for data analysisGenuine intellectual curiosity about financial markets and investment management, with clear motivation for pursuing a quantitative finance careerStrong analytical reasoning skills with ability to approach complex problems systematicallyExcellent communication abilities, capable of explaining mathematical concepts to non-technical audiencesWork Permissions You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time. What you'll gain:Competitive salary of £30,000-£40,000 reflecting your academic achievements and potentialDirect exposure to institutional investment processes and credit market dynamicsMentorship from experienced investment professionals who value quantitative rigourProfessional development pathway with clear progression as analytical capabilities developOpportunity to contribute meaningfully during a strategic transition periodCentral London location with excellent transport connectivityCollaborative environment that rewards analytical thinking and intellectual contributionBuilding a Career in Quantitative Finance The intersection of mathematics and finance continues to expand as investment firms increasingly rely on quantitative methods for decision-making. For graduates with strong analytical foundations, quantitative analyst roles provide an exceptional entry point into the investment industry, offering exposure to sophisticated financial theory whilst developing practical market knowledge. As firms evolve their strategies to incorporate machine learning and alternative data sources, professionals who combine mathematical expertise with genuine market understanding will find themselves particularly well-positioned. The skills developed in quantitative finance roles—rigorous analysis, clear communication of complex ideas, and systematic problem-solving—create pathways toward portfolio management, risk leadership, or specialised quantitative research positions. The Opportunity Hub UK specialises in connecting mathematically talented graduates with investment firms seeking analytical excellence. This Quantitative Analyst position represents a genuine career-building opportunity for ambitious professionals.....Read more...
A growing organisation based in Basingstoke is seeking a Marketing Analyst to support data-driven marketing and commercial decision-making. This role is open to graduates, early-career analysts, and more experienced Marketing Analysts, with responsibilities and salary tailored to experience level.
You will analyse market trends, customer behaviour, campaign performance, and competitor activity to generate actionable insights that guide marketing strategy, product positioning, and business growth.
Key Responsibilities for the Marketing Analyst based in Basingstoke
Marketing Data & Market Research
Collect and analyse quantitative and qualitative marketing data from industry reports, CRM systems, digital analytics platforms, and customer research
Track competitor marketing activity, pricing strategies, positioning, and promotional campaigns
Design and manage customer and market research surveys
Maintain accurate and structured marketing intelligence databases
Data Analysis & Insight Generation
Clean, organise, and analyse datasets using Excel and analytics tools
Identify trends, customer segments, and performance insights across campaigns and channels
Build dashboards and data visualisations using Excel, Tableau, Power BI, or similar tools
Interpret data in line with commercial and marketing objectives
Reporting & Stakeholder Communication
Produce clear, insightful reports and recommendations for stakeholders
Present findings to marketing, sales, product, and leadership teams
For more senior candidates: act as a subject-matter expert and support mentoring of junior analysts
Collaboration & Business Support
Work cross-functionally with marketing, product, sales, and finance teams
Provide ad-hoc analysis to support launches, campaigns, and strategic initiatives
Contribute to continuous improvement of analytics processes and tools
What We’re Looking For for the Marketing analyst based in Basingstoke
Essential
Degree in Marketing, Business, Economics, Statistics, or a related field (or equivalent experience)
Strong analytical and numerical skills
Proficiency in Microsoft Excel
Clear written and verbal communication skills
Ability to manage multiple priorities and work collaboratively
Desirable (Level-Dependent)
Experience with Tableau, Power BI, Google Analytics, CRM systems, or BI tools
Understanding of digital marketing metrics, customer analytics, or market research
For senior candidates: experience influencing strategy and working with senior stakeholders
Why Apply?
Open to graduate, mid-level, and senior Marketing Analysts
Salary dependent on experience
Opportunity to influence marketing and commercial strategy
Supportive, collaborative culture
Hybrid working with access to a Basingstoke office
How to Apply
If you are keen on this opportunity and would like more information, please send an updated CV to nking@redlinegroup.Com or call 01582 878839, and a member of the team will contact you to discuss this opportunity in further detail.....Read more...
Applicant needs Accounting knowledge/experience/done short course/got degree in Accounting
Implement the Vena product for our customers, being responsible for configuring the data model, Excel templates and Power BI Dashboards, integrating data from customer systems and setting up automated data workflows
Actively participate in on-site or virtual workshops and training with customers to elicit business and technical requirements
Support customers utilising your communication skills to adopt the product and maximise value from their Vena investment
Work closely with Project Managers day-to-day to deliver projects on time and on budget, proactively communicating issues as needed
Be a self-starter when learning our product, demonstrate a get-your-hands-dirty approach and ask lots of questions
About you:
A passion for continuously learning new technology and improving business processes for our customers
Resourcefulness and eagerness to learn and grow a personal brand within the technology sector
Communicates confidently with financial and operational teams Constantly helping customers to identify opportunities to become more efficient and effective
Ability to work collaboratively in a team environment, and present effectively with all levels in an organisation
Experience in applying problem solving skills (quantitative, conceptual, analytical)
Strong Microsoft Excel skills
Data Integration and data modelling experience, or a willingness to learn
Experience or knowledge of database management and understanding
Training:
An apprenticeship includes regular training with a college or other training organisation
At least 20% of your working hours will be spent training or studying
Data Analyst Level 4 Apprenticeship Standard
You will also receive full training and support from the Just IT
Apprenticeship team to increase your skills
Your training will include gaining a Level 4 Data qualification
Training Outcome:
Potential for permanent role after completion of apprenticeship for the right candidate
Employer Description:Candura is a leading UK-based consultancy specializing in financial planning and analysis (FP&A). As a trusted partner of Vena Solutions, we combine advanced technology with deep FP&A expertise to help organizations enhance their planning and reporting capabilities.
Our mission is to deliver exceptional customer experiences by adhering to our core values: honesty, fairness, transparency, and trustworthiness. We believe in empowering finance and operations teams by leveraging tools they are familiar with, like Excel, and integrating them with powerful planning solutions.Working Hours :Monday to Friday 9.00am to 5.00pm.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Presentation skills,Administrative skills,Analytical skills,Logical,Team working,Initiative....Read more...
Job Description:
Core-Asset Consulting is delighted to be partnering with a leading global financial services organisation to recruit a Data Business Analyst in Edinburgh for an initial 6-month contract.
This is an exciting opportunity for a data-driven professional to sit at the intersection of business and analytics, helping translate complex business needs into robust, data-led solutions. The role will support revenue growth initiatives, enhance data quality and documentation standards, and contribute to the development of advanced data pipelines that enable AI and machine-learning-driven insights for front-office markets activities.
You will work closely with a broad range of stakeholders across trading, quantitative teams, technology, finance and operations in a highly collaborative, international environment.
Essential Skills/Experience:
Professional experience in data analysis, business analysis or a closely related role
Strong working knowledge of data analysis tools including SQL, Python and Excel
Experience with data visualisation tools such as Tableau or Power BI
Experience with data pipelines and getting clean data into AI/ML models, working closely with Data Scientists.
Excellent analytical and problem-solving skills, with the ability to interpret complex datasets
Strong communication skills, with confidence presenting insights to non-technical stakeholders
High attention to detail and a strong focus on data quality and accuracy
Ability to collaborate effectively across teams and manage multiple priorities in a global environment
Core Responsibilities:
Analyse large and complex datasets to identify trends, patterns and actionable insights that support business decision-making
Gather, define and document business requirements, ensuring alignment with data and analytics solutions
Design and maintain dashboards and reports to clearly communicate insights to technical and non-technical stakeholders
Support data quality, accuracy and integrity through validation, cleansing and control processes
Partner with cross-functional teams to deliver data-driven initiatives and remediate gaps in data documentation and governance
Identify opportunities for process improvement and recommend data-led enhancements to business performance
Manage data-related workstreams, ensuring timely delivery and alignment with wider business objectives
Core-Asset Consulting is an equal opportunities recruiter, and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.
Job reference: (16357)
To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
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Core-Asset Consulting offers specialist recruitment services to asset management, accounting & finance, asset servicing, legal and the wider financial services sector in Scotland.
INDCAS....Read more...
