Senior Consultant - Risk Advisory (Banking)
Amsterdam, Netherlands
4most
Anticipate risks and make more informed decisions with the go-to, specialist analytics consultancy. This is global consulting, redefined.Working at 4most
We are not your typical consultancy firm; our purpose is to redefine consulting by enabling all our people to flourish and excel. We have over 250 consultants working in credit risk, data, market risk, life insurance and general insurance, across multiple sites – London, Leeds, Edinburgh, Dublin, Amsterdam, Dubai and Bengaluru. We value every individual’s contribution to the success of the company with colleagues owning a significant share of the business, and we have ambitious plans to grow even further.
As experts in our field, we are passionate about what we do and embrace diversity; we’ve created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it’s the unique value you bring to the community. We want our people to think differently and challenge the status quo.
Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Women in Credit Employer of the Year for 2023 and Best Management Consultancy Firm MEA Finance UAE 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute.
Your future team
We support our clients in the UK, Europe and the Middle East in solving their analytical challenges in model development and validation, risk management, stress testing, ESG, data and regulatory compliance. We have ambitious growth targets and have recently opened the European headquarters in Amsterdam as the demand for our expertise grows. Get ready to be part of this exciting new chapter and help shape it from the start!
What you’ll do
As a Senior Consultant at 4most, you’ll work on advisory projects at banks, ranging from large global banks to regional banks and lenders. You will learn from, and work together with, other 4most-ers and client teams on projects. Tasks could include the following, based on your expertise, experience and interest:
- Developing credit risk and pricing models, used for regulatory and business purposes.
- Validating and challenging these models on areas such as model design, model performance and model implementation.
- Stress testing exercises, ranging from operational execution to model development and validation.
- Processing large credit risk datasets and assessing or improving data quality.
- Integration of ESG across data, models (IRB, IFRS 9, stress testing) and risk processes.
- Interpretation and implementation of regulatory requirements and supervisory expectations.
- Remediation of supervisory findings (ECB/DNB).
- Ad-hoc assistance on business development activities, e.g. client events / roundtables, client meetings, workshops, pitching, drafting proposals and creating marketing material.
- Presenting and discussing results with senior management.
Your background
- You bring 3+ years' experience in risk, analytics or data science for banks, obtained by working for a bank, consulting firm or regulatory body (ECB / DNB). Experience in integration of ESG within data, risk of models is an advantage.
- You have deep technical experience on financial risk management and hands on experience in development, validation and implementation of IRB, IFRS 9 or Stress Testing models.
- You are experienced with data processing and analysing large datasets using Python, SAS, SQL or R.
- You have detailed knowledge of European prudential regulation and supervision at banks in Europe.
- You are passionate about the business impact of analysis, driven by continuous improvement and attention to detail.
- You are a strong communicator both verbally and written, with the ability to break down complex topics into simple solutions and ideas.
- You have a good command of the English language, and preferably Dutch.
Benefits
Salary dependant on experience plus:
- Freedom holiday scheme
- Discretionary bonus
- 50% sponsorship towards relevant courses (professional qualification, Masters, PhD etc)
- Juno (wellbeing platform): £50 or equivalent per month to spend on anything to help with wellbeing (physical & mental)
- Phone bill expenses of up to a maximum of €45
- Pension
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Consulting Consulting firm Credit risk Data quality Excel Finance ML models Model design PhD Python R SAS SQL Testing
Perks/benefits: Career development Salary bonus Startup environment Team events
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