MRM Model Risk Management (AML)

Global Business/Global Function (Risk) :

Global Risk is responsible for developing, implementing and managing consistent business propositions and models across the Group, focusing on profitability and efficiency where it fits within the Group The Risk function protects and enables HSBC in the execution of its strategy through the development of the approved risk appetite statement. The function measures, monitors and manages risk against this statement, and ensures that all global businesses and regions are operating within the boundaries of the statement.

Overall, Risk has full functional responsibility for risk management and for ensuring adequate skilled resources are in place to execute this mandate

Global Business/Global Function - Sub-Function (MRM) :

Model Risk Management ("MRM") is responsible for providing second line of defence for HSBC's model risk :

- Set policy, standards and guidelines for managing model risks;

- Provide advice and guidance to support those policies; and

- Review and challenge of the first line of defence model risk activities to provide assurance to the Model Risk Steward.

- Effectively challenge models and critical processes implemented for use within the HSBC North America Holdings (HNAH) legal entity

- The MRM team consists of Model Risk Stewards, Model Risk Governance ("MRG"), Independent Model Review ("IMR"), and regional MRM teams.

The Opportunity :

- Decision Sciences job family is structured to address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc.. Members of this Job Family are differentiated by their capability of converting a business problem into a quantitative construct, solve it with available statistical / mathematical methods (following the right rigour), engage with IT to implement and finally interpret the model outcomes in business language. The range of business problems may cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc.

- They are required to, as necessary, embed agile & exploratory practices into their approach, justify the choice of appropriate methods to various internal and external reviewers. This talent group is expected to keep themselves

INTERNAL :

- Apprised of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes. A decision sciences job family member should be able to :

- Apply relevant analytical methods / algorithms to get actionable insights from HSBC's internal (both structured and unstructured) and external data sources

- Partner with IT / Data Engineering teams to create deployment road-map

- Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies

- Independently manage delivery of analytics projects by working with business partners across regions / geographies

- Actively contribute in innovative analytical solutioning for improved business performance

What you'll do :

Management of Risk/Internal Controls/Compliance :

- The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology.

- The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators.

- The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term 'compliance' embraces all relevant financial services laws, rules and codes with which the business has to comply.

- This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new 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.

Qualifications - External

What you will need to succeed in the role :

- Atleast 4 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems

- At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study

- Proficiency in SAS / R, Python, JavaScript and MS Office tools like Excel & PowerPoint

- Business problem solving skills is essential

- Proven expertise in using statistical / ML algorithms for solving diverse business challenges and creating significant business value

- Candidate should have worked on Financial Crime compliance models and have basic understanding of transaction monitoring framework. He/she should be able to validate systems used to detect unusual financial transaction activity.

- Candidate should be able to understand various financial crime risk typologies prevalent in the industry and various other mandatory regulatory expectations for multiple geographies. Person should be familiar with concept of Clustering/Segmentation and its use in setting different thresholds for differing financial crime risk profile.

- Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. would be a plus but not mandatory

- Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends

- Candidate should be able to go through vast range of documentation and come up with concise set of questions highlighting model risk in the model.

- Strong business acumen with out-of-the box thinking to drive improved business performance

- Strong stakeholder management skills and seamless delivery of analytics initiatives across markets

- Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas

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