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FinCrime Model Risk Expert - AVP Location: Kraków - Poland Do you wish to play an active role in seeking out and identifying financial crime across the globe? Do you have high-level risk modelling skills and the capability to lead a team of analysts working across the globe? Are you interested in data science, machine learning or AI and their application in the financial sectors? The world's leading international bank have several positions open for risk professionals with a combination of technical and man-management abilities to undertake key duties in tackling international crime, through the application of modern computer technologies and data science. See the below description for in-depth information. Working as part of the bank's Financial Crime unit based within Global Risk Analytics (GRA), these positions are highly technical leadership roles with genuine international scope, focusing on European and US Financial Crime with Global reporting lines. Using developed technical skills, you will be able to tackle modelling duties hands-on using Python, SQL and other large data tools but are also expected to act in a leadership capacity, delegating tasks, advising and mentoring a team of analysts. Expertise of International Financial Crime regulations is not necessary for this role as training will be provided, some knowledge would be preferable but meeting the technical requirements below is key. Global Risk Analytics is responsible for analytical controls covering design, development, implementation, optimisation and validation of models. Team's mandate is to identify risks, new trends, management information, forecasts, and recommend methodology amendments primarily for non-Regulatory purposes. Activities may also support regulatory supervision and policy development. The broader team is responsible for the configuration, oversight, governance and control of all processes related to the Transaction Monitoring models. Core objectives: * to work with project leaders in the review and improvement of the existing suite of models and methodologies. * to support improvements to the systems and data infrastructure supporting deployment of the traded risk models. * to participate in projects aimed at aligning methodologies, governance and policies around the Group. * Keep abreast of regulatory requirements.
You will be responsible for ensuring compliance coverage of Transaction Monitoring models. The jobholder will implement measures to minimize and mitigate compliance risk across the business area. This will be achieved by liaising with Compliance Department about business initiatives at the earliest opportunity. Also, and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators.
Main responsibilities: * Work with global teams across business lines and countries. * Articulate business and regulatory implications of team's findings to both Compliance colleagues and Senior Business Management. * Support decisions with a sound reasoning, rationale and data analysis. * Keep abreast of all regulatory developments together with changes to Group Standards in order to ensure appropriateness of advice. * Translate complex ideas into easily understandable solutions and documentation. * Work independently and with remote teams. * Operate, influence and communicate effectively with stakeholders and other colleagues both intra- and inter-department.
Requirements: * Minimum of 3 years progressive experience in financial services data analysis and/or application development; Anti Money Laundering (AML) Compliance- specific experience will be a plus but not critical. * Preferably a master's degree or higher in a numerate or computer science, MIS, related field or equivalent experience. * Proven ability and experience working in Python. * Strong Experience in SQL, PL/SQL, ORACLE. * Proficiency in (Scala, JAVA, SQL, Python, R), Open source technologies. * Proficiency in Hadoop (Hive, Pig, Ambari, etc.), SPARK. * Understanding and proven experience in advanced statistical methods/functions. * Supervised Learning: Regression Analysis, Generalized Linear Model, Decision Trees, SVM, etc. * Experience in Google analytics, AWS. * Strong analytical skills with complex data type and format Clustering: K-means, Hierarchical clustering, etc. * Data Modelling experience. * Knowledge of SAS, Qlickview, Qlik Sense, Tableau, Platfora or Spot Fire. * Experience in Functional programming. * Strong communication and presentation skills (both verbal and written) and ability to convey information in a way that is clear, succinct, and easily understood by non-analysts and senior executives. * Good understanding of payment activities for a large global banking group with diverse operations specially relating to AML, Payments, and Compliance.
The company offers: * Stable job in a professional team. * Interesting career path in a truly global organization. * Consistent scope of responsibilities. * Private health care, employees' benefits.