GRA FCR Senior Analyst

Job description

Role Title: GRA FCR Senior Data Analyst

Business: Risk Management

New or Existing Role? New

Grade: GCB5

Role Purpose

This role is responsible for supporting the development and maintenance of models and methodologies for GRA FCC risk measurement.

The core objectives are:

· 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, and

· to participate in projects aimed at aligning methodologies, governance and policies around the Group, and

· keep abreast of regulatory requirements.

The position is responsible for ensuring compliance coverage of Transaction Monitoring models .

Role holder will have delivery responsibility of analytics for

· Risk & coverage

· AML Scenarios

· Contextual models

· Event Triage

· Network analysis

Key Accountabilities

Impact on Business

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Customers / Stakeholders

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Leadership & Teamwork

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Operational Effectiveness & Control

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Role Dimensions

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Management of Risk

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Observation of Internal Controls

· Appropriately calibrated and applied GRA FCR Risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.

· Regulatory approval for effective risk models aligns risk measurement and capital.

· Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly.

· Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the risk models and that best practices are being applied.

· Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments.

· Assure the global standards for relevant models and analytics adhere to HSBC model governance and regulatory demand.

· Provision of analytics to identify new risk trends and risks and recommend model or control amendments to address

· Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives

Knowledge & Experience / Qualifications

· Good understanding of the business activities for a large global banking group with diverse operations from retail banking, wealth management, commercial banking, global banking, investments, transaction services, asset management, private banking and insurance

· Minimum of 3 years proven and progressive experience in financial services data analysis and/or application development; AML Compliance specific experience preferred

· Minimum of a Bachelor's degree in a numerate or computer science, MIS, related field or equivalent experience

· Proven ability to clearly articulate business and regulatory implications of analysis and findings both to Compliance Colleagues and Business Heads

· Takes pride in working to a high standard, and thrives within a changing environment, showing initiative and drive

· Hands on data science programming experience using languages such as R, Python, Matlab or similar to analyse, transform and visualise big data;

· Strong Experience in SQL, PL/SQL, ORACLE

· Proficiency in (Scala, JAVA, SQL), Open source technologies.

· Hadoop (Hive, Pig, Ambari, etc.), SPARK

· 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 or Spot Fire a benefit.

· Experience in - integrated development environment (IDE).

· Machine Learning

· Experience in Functional programming

· Experience in any Visual Analytics tools and concepts e.g SAS VA, Tableau, Qlikview, Platfora.

· Understanding business requirements and ability to convert these into positive systems changes

· A working knowledge of Outlook, Word, Excel, Access, Visio and PowerPoint

· A flexible approach to working with the ability to travel to other entities within HSBC

· Ability to review processes and controls across the Business

· 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.

· Excellent analytical skills with good eye for detail and ability to draw and support conclusions or anticipate outcomes from data trends or system documentation

· Be able to generate and maintain positive relationships within the team and across the business

Under the Company's internal 'Back to Front'/'Front to Back' transfer policy this role may be classed as High Risk. As a result, internal candidates may require enhanced approvals and vetting checks if they are currently employed in a Front Office department, or if they have worked in a Front Office department within the last 5 years (please refer to the HR FIM definition for further guidance). The enhanced approvals and vetting would need to be completed before the candidate will be confirmed in the role.

We are an equal opportunity employer and are committed to creating a diverse environment.

Desired profile

Qualifications :

Knowledge & Experience / Qualifications

· Good understanding of the business activities for a large global banking group with diverse operations from retail banking, wealth management, commercial banking, global banking, investments, transaction services, asset management, private banking and insurance

· Minimum of 3 years proven and progressive experience in financial services data analysis and/or application development; AML Compliance specific experience preferred

· Minimum of a Bachelor's degree in a numerate or computer science, MIS, related field or equivalent experience

· Proven ability to clearly articulate business and regulatory implications of analysis and findings both to Compliance Colleagues and Business Heads

· Takes pride in working to a high standard, and thrives within a changing environment, showing initiative and drive

· Hands on data science programming experience using languages such as R, Python, Matlab or similar to analyse, transform and visualise big data;

· Strong Experience in SQL, PL/SQL, ORACLE

· Proficiency in (Scala, JAVA, SQL), Open source technologies.

· Hadoop (Hive, Pig, Ambari, etc.), SPARK

· 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 or Spot Fire a benefit.

· Experience in - integrated development environment (IDE).

· Machine Learning

· Experience in Functional programming

· Experience in any Visual Analytics tools and concepts e.g SAS VA, Tableau, Qlikview, Platfora.

· Understanding business requirements and ability to convert these into positive systems changes

· A working knowledge of Outlook, Word, Excel, Access, Visio and PowerPoint

· A flexible approach to working with the ability to travel to other entities within HSBC

· Ability to review processes and controls across the Business

· 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.

· Excellent analytical skills with good eye for detail and ability to draw and support conclusions or anticipate outcomes from data trends or system documentation

· Be able to generate and maintain positive relationships within the team and across the business

Under the Company's internal 'Back to Front'/'Front to Back' transfer policy this role may be classed as High Risk. As a result, internal candidates may require enhanced approvals and vetting checks if they are currently employed in a Front Office department, or if they have worked in a Front Office department within the last 5 years (please refer to the HR FIM definition for further guidance). The enhanced approvals and vetting would need to be completed before the candidate will be confirmed in the role.

We are an equal opportunity employer and are committed to creating a diverse environment.