Rodeo
Get started

Fasanara Capital

Risk Analytics Associate

London
Posted about 24 hours ago
Sign up to applySee more jobs like this
Get notified of more jobs like this · No spam, ever

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. With c.130 employees globally, we are a pioneer investor in Fintech Lending and Digital Asset investing.

Fasanara manages the largest and longest-standing Fintech Lending fund in Europe and invests in early-stage Fintech companies via its venture capital vehicles, using its central role in the Fintech ecosystem to identify and back revolutionary new businesses.

The Role

The Risk Analytics Associate works on the development and delivery of portfolio risk analytics across Fasanara's Asset-Backed Finance (ABF) strategies. This role sits at the intersection of Risk, Investment, and Technology, translating complex portfolio data into actionable insights to support investment decisions, portfolio construction, and risk monitoring.

The position combines strong technical expertise in data analytics and modelling with a commercial mindset, supporting multiple stakeholders including Portfolio Management, Capital Markets, and Investor Relations. The role involves writing a lot of code for the analytics platform, and ensuring high standards of code and data quality, as well as scalability.

Responsibilities

Portfolio Risk Analytics & Insights

  • Contribute to the development of portfolio risk analytics across ABF strategies, including: concentration, exposure, performance tracking, stress testing, outlier investigations, monitoring tools, and reporting outputs
  • Monitor portfolio risk and limits, identifying emerging risks and escalating issues where appropriate
  • Ensure full documentation and reproducibility of models and analytics

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Data & Platform Development

  • Work closely with Tech and Data Engineering teams to improve the analytics platform, focusing on data quality, reconciliation, and scalability
  • Standardise and automate analytics and reporting outputs to improve efficiency and consistency
  • Structure and harmonise heterogeneous datasets into consistent portfolio-level views

Stakeholder Collaboration

  • Be a cross-functional partner to teams to support portfolio construction, origination assessment, investor relations, and strategic initiatives
  • Action reports for regulatory, audit, and governance processes

Requirements

Essential

  • At least 2 years of experience in data analytics within private credit, asset-backed finance, securitisation, or related fields
  • Understanding of ABF / securitisation fundamentals, including collateral analysis, portfolio monitoring, and structure mechanics (e.g. waterfalls, triggers)
  • Advanced Python, (especially Pandas) skills for data analysis, modelling, and production-ready code
  • Knowledge of git, CI/CD and collaborative development environments
  • Intermediate SQL skills
  • Ability to analyse concentration, exposure dynamics, and performance trends across portfolios
  • Ability to translate business and risk requirements into analytical outputs
  • Strong communication skills, with the ability to present insights to technical and non-technical audiences in a structured and actionable way

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Desirable

  • Basics of system design
  • Strong grasp of portfolio risk concepts and early warning indicators
  • Experience in structuring or exposure to securitisation transactions
  • Familiarity with scenario analysis and stress testing frameworks
  • Understanding of data engineering concepts (data pipelines, ingestion, transformation)
  • Exposure to fintech lending platforms or non-bank lending environments
  • Experience working with multiple datasets from different sources, including data integration, standardisation and reconciliation
  • Understanding of cloud-based environments (AWS preferred)
  • Interest in leveraging AI tools and technologies to enhance analytics capabilities

Benefits

Our benefits include:

  • Performance-related Bonus Scheme
  • Private Medical & Dental Insurance through Bupa (including children's cover)
  • Life Insurance, Income Protection & Critical Illness Cover
  • Employee Assistance Programme (EAP)
  • Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%)
  • Enhanced Maternity & Paternity Leave
  • Emergency Parental Leave, Emergency Childcare & Nursery Benefit
  • Cycle to Work Scheme
  • Charity Giving through CAF
  • Annual Wellbeing Budget
  • Team socials, annual Summer & Christmas parties, and other events throughout the year
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Location

London, England, United Kingdom

Sign up to applySee more jobs like this