Enable job alerts via email!

Analyst Product Control - Client modelling

FNZ

London

Hybrid

GBP 40,000 - 80,000

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative firm is seeking a detail-oriented Analyst to enhance risk frameworks and contribute to financial strategy. This role involves collaborating with risk managers, validating pricing models, and conducting scenario analyses to assess financial risks. You will oversee financial risk models and integrate advanced analytics into risk modeling processes, making a significant impact within a dynamic environment. If you have a passion for financial modeling and risk management, this is the perfect opportunity to thrive in a forward-thinking organization that values your contributions.

Qualifications

  • Experience in financial risk modeling or product control in banking or fintech.
  • Strong understanding of financial instruments and risk management principles.

Responsibilities

  • Provide oversight of modeling risk and collaborate with key stakeholders.
  • Monitor financial product valuations and validate pricing models.

Skills

Analytical Skills

Problem-Solving Skills

Financial Risk Modeling

Attention to Detail

Collaboration

Education

Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering

Qualified Accountant

Tools

Excel

Bloomberg

Reuters

Python

R

MATLAB

Job description

Location: Edinburgh or London

Working Pattern: Hybrid

Contract: Permanent

Job Title:
Role Overview:

We are seeking an Analyst to join our fully functioning Product Control team, responsible for providing oversight of modeling risk across FNZ Group. This role offers the opportunity to collaborate with key stakeholders, enhance risk frameworks, and contribute to the financial performance and strategy of the organization.

Key Responsibilities:
  • Provide oversight of modelling risk across FNZ Group as part of a fully functioning Product Control team.
  • Partner with risk managers and financial controllers to implement and maintain robust control frameworks.
  • Collaborate with modelling teams to enhance capability, accuracy, and usability of models.
  • Monitor and reconcile financial product valuations, identifying and resolving discrepancies.
  • Validate pricing models for financial instruments and ensure alignment with accounting and regulatory standards.
  • Evaluate the financial performance of products and provide actionable insights to drive business strategy.
  • Oversee financial risk models, including business plan and customer profitability models, as well as credit, market, operational, and liquidity risk models.
  • Conduct scenario analysis, stress testing, and sensitivity analysis to assess and predict financial risks, including input into regulatory processes/reporting.
  • Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact.
  • Manage Model Risk, including statistical and advanced AI/ML based techniques, formulation of guidelines/policy, laying down of roadmap, and establishment of model risk governance.
  • Create project plans and coordinate with key stakeholders for Program/Delivery Management.
  • Integrate advanced analytics and machine learning into risk modeling processes in collaboration with stakeholders.
Desired Qualifications and Skills:
Education:
  • Bachelor’s or master’s degree in finance, Economics, Mathematics, Engineering, or a related field.
  • Qualified accountant.
Experience:
  • Experience in financial risk modeling, product control, or a similar role in banking, financial services, or fintech.
  • Strong understanding of financial instruments, derivatives, and risk management principles.
Technical Skills:
  • Advanced knowledge of Excel and experience with financial systems (e.g., Bloomberg, Reuters, or similar).
  • Familiarity with accounting principles (e.g., IFRS, GAAP) and regulatory requirements (e.g., Basel III, IFRS 9).
  • Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests, and Cross-Validation Techniques, ML Algorithms.
  • Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling.
Soft Skills:
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work collaboratively in a fast-paced and dynamic environment.

If you are a detail-oriented professional with a passion for risk management, financial modeling, and driving business insights, this role offers the perfect opportunity to make a significant impact within a dynamic and innovative organization.

Application deadline: 31/01/2025

About FNZ

FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.

We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations, all in a regulated financial institution.

We partner with over 650 financial institutions and 12,000 wealth managers, with US$1.5 trillion in assets under administration (AUA).

Together with our customers, we help over 20 million people from all wealth segments to invest in their future.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.