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MANAGER,WHOLESALE ANALYTICS,GRA

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

MANAGER,WHOLESALE ANALYTICS,GRA

at HSBC

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead and support the analysis, development and redevelopment of wholesale credit models and related policies, working with customer/product groups, GroupRisk and regulators. Develop and monitor risk policies, tools and processes, and perform modelling, validation and research using traditional and machine learning techniques. Communicate findings and build relationships across the organisation while driving change and managing a team in a multinational environment.

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of MANAGER,WHOLESALE ANALYTICS,GRA.

Principal responsibilities

  • Support/Lead the analysis, development and coordination with Customer Groups, Product Groups, GroupRisk and regulators on the review and re-development of Wholesale credit models
  • Support/Manage the development and monitoring of risk policies, processes and tools that facilitate risk based business management.
  • Support/Management of research, review, formulation and revision of wholesale credit policies and guidelines from modelling perspective.

Requirements

  • Degree holder or above in Finance, Mathematics, Risk Management, Statistics or a related field.

Experience

  • Have a good understanding of credit (PD/EAD/LGD) modelling, including rating philosophy (i.e. Point-in-Time vs Through-the-Cycle), in particular within the wholesale (e.g. SME segment) environment
  • Experienced in banking industry, including experience in Risk and in a business line (preferably corporate)
  • Hands on experience in stress testing, Basel modelling, validation and/or regulatory capital rules would be an added bonus
  • Experience in Basel and would also be an added bonus

Skills

  • Able to work in a dynamic and multinational culture and cope with high pressure
  • Proven writing and analytical skills
  • Quantitatively capable
  • Hands on experience in programming language such as (but not limited to) SAS, S+, Matlab, R or Python
  • Hands on experience or strong interest in modelling including (but not limited to) both traditional and machine learning techniques
  • Be a confident communicator with excellent soft people skills and management skills
  • Ability to build effective relationships and liaise effectively with key business areas and management at all levels of the organisation
  • Have a strong desire to embrace and drive change with strong influencing ability
  • Any interest and/or experience in the latest industry development such as an understanding of Artificial Intelligence and Machine Learning techniques would be desirable

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

MANAGER,WHOLESALE ANALYTICS,GRA

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

MANAGER,WHOLESALE ANALYTICS,GRA

at HSBC

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead and support the analysis, development and redevelopment of wholesale credit models and related policies, working with customer/product groups, GroupRisk and regulators. Develop and monitor risk policies, tools and processes, and perform modelling, validation and research using traditional and machine learning techniques. Communicate findings and build relationships across the organisation while driving change and managing a team in a multinational environment.

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of MANAGER,WHOLESALE ANALYTICS,GRA.

Principal responsibilities

  • Support/Lead the analysis, development and coordination with Customer Groups, Product Groups, GroupRisk and regulators on the review and re-development of Wholesale credit models
  • Support/Manage the development and monitoring of risk policies, processes and tools that facilitate risk based business management.
  • Support/Management of research, review, formulation and revision of wholesale credit policies and guidelines from modelling perspective.

Requirements

  • Degree holder or above in Finance, Mathematics, Risk Management, Statistics or a related field.

Experience

  • Have a good understanding of credit (PD/EAD/LGD) modelling, including rating philosophy (i.e. Point-in-Time vs Through-the-Cycle), in particular within the wholesale (e.g. SME segment) environment
  • Experienced in banking industry, including experience in Risk and in a business line (preferably corporate)
  • Hands on experience in stress testing, Basel modelling, validation and/or regulatory capital rules would be an added bonus
  • Experience in Basel and would also be an added bonus

Skills

  • Able to work in a dynamic and multinational culture and cope with high pressure
  • Proven writing and analytical skills
  • Quantitatively capable
  • Hands on experience in programming language such as (but not limited to) SAS, S+, Matlab, R or Python
  • Hands on experience or strong interest in modelling including (but not limited to) both traditional and machine learning techniques
  • Be a confident communicator with excellent soft people skills and management skills
  • Ability to build effective relationships and liaise effectively with key business areas and management at all levels of the organisation
  • Have a strong desire to embrace and drive change with strong influencing ability
  • Any interest and/or experience in the latest industry development such as an understanding of Artificial Intelligence and Machine Learning techniques would be desirable

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.