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

Apply Now

Quantitative Analyst - Modelling & Structured Credit

The JM Longbridge Group
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst AVP

Quantitative Analyst: Cross-Asset Pricing & Algo Trading

Senior Quantitative Analyst

Interim Project Manager Credit Card Portfolio

Contract 6-9 months Inside IR35 Based in London, hybrid 2 days per week


We are seeking an experienced Interim Project Manager to step in and manage our credit card portfolio during a period of extended leave within the team. This is a unique opportunity to drive high-impact initiatives across a fast-paced, regulated environment while supporting significant business transformation and growth.


Responsibilities:

  • Strategic Ownership: Oversee programme planning across the full product lifecyclefrom launch through optimisation and ongoing management.
  • Cross-Functional Leadership: Partner with teams across Product, Risk, Marketing, Operations, Compliance, and Technology to drive successful programme execution.
  • Roadmap Delivery: Build and manage delivery roadmaps that maximise customer acquisition, engagement, retention, and profitability.
  • Regulatory Compliance: Ensure all delivery activity aligns with FCA, card scheme rules, and Consumer Duty expectations.
  • Performance Insight: Analyse and report on portfolio performance, identifying opportunities and risks to support senior decision-making.
  • Risk & Fraud Control: Monitor portfolio risk trends, proactively addressing fraud, credit risk, and customer churn issues.
  • Product & Feature Optimisation: Introduce new product features, digital tools (e.g. wallets, apps), acquisition strategies, and partnership opportunities.
  • Financial Ownership: Support P&L forecasting, business cases, and budgeting for credit card initiatives.
  • Stakeholder Engagement: Act as a key liaison across internal teams and external partners, ensuring aligned delivery and clear communication.
  • Operational Excellence: Drive efficiencies and continuous improvement across project and delivery processes.


Skills & Experience:

  • Proven programme or project management experience within consumer credit, cards, lending, or payments.
  • Professional programme or project management certification (e.g. PMP, Prince2, MSP).
  • Background in consumer banking, retail credit, or payments environments.


Please apply for immediate interview!

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.