Compliance Transaction Monitoring Tech Expert

This is where you will work

The Transaction Monitoring team within Compliance AML & Sanctions oversees the operations and improvements of TM machine learning models, processes, and procedures. The team's role involves monitoring, challenging, and advising on the design and operational effectiveness of these systems.

Our client is currently looking for an experienced Transaction Monitoring (TM) Compliance Tech expert, with a technical profile (i.e., a background in mathematics, physics, econometrics, or similar).

In order to contribute to the bank's Wwft gatekeeper role in a sustainable manner, the Compliance TM team aims to further expand its monitoring function. This includes monitoring the design, setup and implementation of the TM framework by the first line of defence.

As TM Compliance Tech expert, your aim is to monitor the TM machine learning models in order to provide insights on the extent that these comply with the set regulations, policies and procedures, and operating effectively within the bank's risk appetite.

In specific, you will focus on understanding, monitoring, and challenging the TM machine learning models in design and operational performance, and specific topics such as hibernation and peer grouping. In this role, you will do so by either opining on the (statistic) information and documentation as delivered by the first line, or you will run your own (statistic) independent second line assessments.

In your role, you will closely work together with other Compliance Officers, Risk management Model Validation colleagues, and the TM teams in the first line of defence.

While affinity with financial crime regulations (such as money laundering and terrorism financing) and TM is preferable, our client primarily looks for someone who can provide deep technical insights on the TM machine learning models, connect these insights with actual TM risks, while operating effectively in a multi-stakeholder environment.

This is what you will do

• Monitor, advise and challenge the design and performance of current TM machine learning models;
• Assess, monitor and challenge specific TM topics, such as hibernation and peer grouping;
• Interpret monitoring results in the context of the bank's risk appetite;
• Define controls for periodic monitoring of TM machine learning models' effective operation;
• Advise on and raise risk awareness among the bank's board members through Compliance opinions and independent thematic reviews.

Your profile

• Education: Master's degree in mathematics, physics, econometrics or similar field;
• Experience: 5-10 years of experience, with at least 2-3 years within TM. Experience within the Compliance / risk / audit context is essential;
• Technical skills: In-depth knowledge of TM and machine learning models;
• Soft skills: Strong interpersonal skills (empathy, persuasiveness, self-learning and decisiveness) and stakeholder management.

This is what they offer

Compliance employees get the opportunity to demonstrate personal leadership. Our client has an informal way of working with a focus on expertise and collaboration.

They invest in knowledge and skills by offering learning, training and coaching "on the job".

• A custom made annual salary based on a 36-hour work week, including holiday allowance and benefit budget (based on knowledge & experience);
• The Benefit Budget is 11% of your salary. The Benefit Budget allows you to acquire additional employment benefits. If you make no purchases or reservations in the Benefit Shop in a given month, you are paid one twelfth of your Benefit Budget that month;
• Five weeks of vacation per year. You have the option to purchase an additional four weeks per year;
• Personal development Budget of € 1,000 per year, which you can accumulate up to € 3,000;
• A hybrid way of working, at least one day a week in the Amsterdam office (in consultation with your team and depending on your position);
• An annual public transport pass with free public transportation throughout the Netherlands;
• An excellent pension scheme.