Junior Risk Analytics Analyst
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Before you apply
LocationLondon, England, United Kingdom
Typefull-time
SeniorityEntry
DepartmentRisk & Analytics
Company size51–200 people
PostedSep 10, 2026 · 1mo ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
Interest in data analytics within private credit, asset-backed finance, securitisation, or related fields
Basics of ABF / securitisation fundamentals
Intermediate Python (especially Pandas) skills for data analysis, motivation to write production-ready code
Basics 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
Understanding of portfolio risk concepts
Exposure to securitisation transactions
Familiarity with scenario analysis and stress testing frameworks
Understanding of data engineering concepts (data pipelines, ingestion, transformation)
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
Skills
Python
Pandas
git
CI/CD
SQL
AWS
Benefits
Performance based bonus
Private medical insurance
Dental insurance
Life insurance
Income protection
Critical illness cover
Employee assistance program
Pension
Maternity leave
Paternity leave
Emergency parental leave
Emergency childcare
Nursery benefit
Cycle to work scheme
Charity giving
Wellbeing budget
Team socials
Summer party
Christmas party
About Fasanara
Founded in 2011, Fasanara is a global asset manager and technology platform.
We manage c. USD 6 billion AUM (as of December 31, 2025) in Fintech strategies on behalf of pension funds and insurance companies in Europe and North America.
With c.110 employees globally, we are a pioneer investor in Fintech Lending, enabling Real Economy Impact.
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.
Our Culture
We are strong believers in meritocracy, and we seek to reward people based on impact and excellence. There is no bureaucracy, typical of large organisations. The environment is collaborative, entrepreneurial, and trust based. We set ambitious goals, work extremely hard, stress the importance of teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.
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
•
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.
•
Ensure full documentation and reproducibility of models and analytics.
•
Work closely with Tech and Data Engineering teams to improve data quality and reconciliation.
•
Action reports for regulatory, audit, and governance processes.
Requirements
Requirements
Essential
•
Interest in data analytics within private credit, asset-backed finance, securitisation, or related fields.
•
Basics of ABF / securitisation fundamentals
•
Intermediate Python, (especially Pandas) skills for data analysis, motivation to write production-ready code.
•
Basics 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.
Desirable
Nice to have
•
Understanding of portfolio risk concepts
•
Exposure to securitisation transactions.
•
Familiarity with scenario analysis and stress testing frameworks.
•
Understanding of data engineering concepts (data pipelines, ingestion, transformation).
•
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