About The Role
FDM is a global business and technology consultancy seeking a Lead Data Scientist to work for our client within the Financial Services sector. This is initially a 6-month contract with the potential to extend. This role will be fully remote.
Our client is looking for an experienced Data Scientist or Actuary with extensive experience in model risk management, model governance, and validation to join their transaction monitoring analytics team as Lead Data Scientist / Lead Model Developer. The successful candidate will be responsible for leading the development and validation of transaction monitoring models, with a focus on model analytics, documentation, and governance. This is a unique opportunity to join a growing team and take on a leadership role in shaping the future of our model development and validation processes.
Responsibilities
* Lead the development and validation of transaction monitoring models, with a focus on model documentation, review, and governance.
* Mentor, uplift, and collaborate with the analytics team to design, test, and implement model SOPs, e.g., data lineage/governance, tuning and calibration, monitoring.
* Lead by example documenting model subcomponents, iterating with the team to ensure accuracy, completeness and analysis of model assumptions, limitations, and weaknesses.
* Provide hands-on support for running and prototyping tests and analytical methodologies.
* Support model governance activities, including validation assessments and implementation of 2nd line feedback.
* Liaise with external vendors to gather information and documentation on third-party models, balancing the need for transparency with constraints dictated by intellectual property.
About You
Requirements
* Degree in a quantitative field, e.g., Computer Science, Actuarial Science, Statistics, Mathematics, or equivalent.
* Extensive experience in model risk management, model governance, and validation.
* Strong background in data science and quantitative methods.
* Experience in Financial Crime/AML, e.g., transaction monitoring and technology suppliers (Quantexa).
* Experience in academic writing or technical writing, particularly in the context of model documentation.
* Experience as model validator or quantitative risk analyst.
* Professional certification in actuarial science (e.g. ACAS, FCAS, etc.).
* Ability to seamlessly relate to both technical and non-technical stakeholders, including data scientists, executives, and other experts.
* Ability to switch context easily between hands-on technical work and high-level strategic discussions.
* Strong problem-solving skills, with the ability to navigate complex technical and business problems.
* Strong vendor management skills, with the ability to build and maintain relationships with external vendors.
#J-18808-Ljbffr