Job Description

Talensa Partners is recruiting a high-impact Quantitative Developer at the Associate Director level for a rapidly scaling financial infrastructure and consulting powerhouse in the City of London. This role is a strategic blend of quantitative research and software engineering, tasked with the mission-critical development of the firm’s Initial Margin Model (IMM) and related risk analytics.

You will be responsible for the “heavy lifting” of risk engine implementation—ensuring that complex mathematical methodologies for margin calculation are scalable, efficient, and regulator-ready. This position is ideal for an experienced Quant Developer or Risk Modeller who understands the nuances of derivatives pricing and is ready to architect industry-leading solutions within a versatile, innovation-driven environment.

Key Responsibilities

Library Engineering: Develop and maintain sophisticated quantitative libraries used for calculating risk weights, historical volatility ratios, and cross-asset correlations.
IMM Optimization: Implement and fine-tune Internal Model Method (IMM) methodologies across both proprietary risk engines and third-party vendor platforms.
Data Orchestration: Build robust pipelines to collect, validate, and aggregate market data and risk sensitivities from fragmented sources.
Validation Frameworks: Design and run high-performance backtesting and benchmarking systems to verify model performance against historical Profit and Loss (P&L) vectors.
Platform Enhancement: Upgrade analytics platforms to support continuous parameter recalibration and margin transparency for internal and external stakeholders.
Stakeholder Synergy: Act as the technical bridge between Quantitative Research, Risk Management, and Technology teams to drive the roadmap for future risk infrastructure.

Technical Skills and Knowledge

Programming Mastery: Expert-level Python skills are mandatory. Additional proficiency in C++ or Java for performance-critical components is highly valued.
Data Stack: High proficiency in the scientific Python stack ( Pandas, NumPy, SciPy ) and advanced SQL for complex risk data handling.
DevOps: Familiarity with modern version control ( Git ) and experience deploying quantitative solutions in Cloud environments.
Risk Domain: Solid understanding of derivatives pricing and risk modeling, specifically Initial Margin (IM) and Variation Margin (VM) methodologies.
Regulatory Landscape: Knowledge of key frameworks like BCBS-IOSCO , UMR (Uncleared Margin Rules), FRTB-SA (Fundamental Review of the Trading Book), and XVA exposure modeling.

Job Data Table

Category	Details
Company Name	Talensa Partners (on behalf of an Infrastructure/Consulting firm)
Location	London, City of London
Job Type	Permanent
Seniority Level	Associate Director
Salaries	£130,000 – £170,000 (Estimated Base)
Experience Level	Significant exposure (Typically 5–8+ years)
Work Arrangement	Likely Hybrid (Standard for City of London)
Industry	Financial Markets Infrastructure / Consulting

Skills & Competency Table

Key Skill	Level
Python (Numerical Stack)	Expert
Derivatives Risk Modeling	Expert
IMM / SIMM Methodologies	Expert
C++ / Java Integration	Advanced
SQL & Data Engineering	Advanced
Regulatory Capital Frameworks	Advanced

Salaries Pay Calculator Table

Annual Base Salary	Bonus (Est. 20–40%)	Total Compensation	Notes
£130,000	£26,000	£156,000	Baseline for AD level in a specialized risk role.
£150,000	£45,000	£195,000	Median for quant devs with deep IMM/XVA expertise.
£170,000	£68,000+	£238,000+	Upper-tier for individuals with senior leadership potential.

Job Summary

This Associate Director role at a City-based financial infrastructure firm focuses on the development and optimization of Initial Margin Models (IMM) . You will build and maintain quantitative libraries in Python, implement risk analytics, and lead the technical side of model backtesting and validation. Requires deep knowledge of derivatives, regulatory margin requirements (UMR/BCBS-IOSCO), and expert-level programming skills.

5 FAQs

What is the primary technical requirement? Expert-level Python is mandatory, as it powers the core quantitative and data handling libraries.
What does “Associate Director” level imply? It signifies a senior individual contributor or lead role, typically requiring several years of post-Masters experience in a technical Quant or Risk environment.
What specific regulatory frameworks are mentioned? BCBS-IOSCO, UMR, FRTB-SA, and XVA modeling are the key focus areas.
Is this a pure development role? No, it is a “Quantitative Development” role, meaning you must understand the underlying math/finance as well as the software engineering.
Where is the role based? On-site/Hybrid in the City of London , the heart of the global derivatives market.

Expert Analysis

In 2026, Derivatives Risk Modeling has moved beyond simple CVA into the realm of Dynamic Margin Optimization . With FRTB (Fundamental Review of the Trading Book) now in full swing, banks and infrastructure firms are desperate for Quants who can implement Standardized Initial Margin Models (SIMM). that are computationally efficient. This role is particularly valuable because it sits within a “Consulting/Infrastructure” firm, meaning you are likely to see a broader variety of portfolios and risk challenges than at a single desk in a bank.

Location & Logistics Guide

Based in the City of London , you will be at the epicenter of European finance. The office is likely near Liverpool Street or Bank, providing elite connectivity via the Central, Northern, and Elizabeth Lines. This location offers high-density networking opportunities with the world’s leading quants and risk managers. Wikipedia URL:https://en.wikipedia.org/wiki/City_of_London

Career Path

An Associate Director of Quantitative Development typically moves towards Director/Head of Quantitative Development or Chief Risk Technology Officer . Given the consulting and infrastructure nature of this firm, you could also pivot into Product Leadership for risk software or move into a Senior Strategist role at a Tier-1 Buy-side or Sell-side institution.

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