Assistant Manager- M&V

KPMG Global Services

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements

The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network.

As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).

Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.

Team Overview

The position in discussion is with the Risk Consulting team at KPMG Global Services at KGS, which is KPMG’s global delivery center and an integral part of the firm’s strategy to enhance innovation, build scalability, and improve profitability globally.

KPMG’s Risk Consulting Advisory Services Practice focuses on fundamental business issues — managing risk, increasing revenues, controlling costs — that organizations, across various industries, should address in order to help them flourish. We help companies to identify and manage risks inherent in business processes and technology systems that support business objectives and provide them with the information needed to help them meet their strategic and financial goals. Our services are divided into 4 service line mainly – IT Advisory, Internal Audit Risk & Compliance Services, Forensic and Financial Risk Management to help clients mitigate risks across an overall risk spectrum.

 

Roles and Responsibilities

Designation Executive / Senior / Assistant Manager Reporting to Manager Role type Individual contributor Employment type Full-time or fixed-term staff

 

 

 

 

 

We are recruiting for Executive in the statistical & quantitative modeling team. Your responsibilities will include: 

 

• Work with our clients primarily in the US/UK market to assist them in credit risk engagements pertaining to model development/validation.  

 

 

 

• Key engagement responsibilities would be:
• Model development/validation/audit/review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for IRB models as well as for IFRS9/CECL/CCAR/DFAST reporting including PD/EAD/LGD component models. Validation process involves understanding of the relevant regulatory requirements, development document, testing and benchmarking using SAS, R or Python and report writing.
• Assist with other model development/validation activities in Underwriting scorecard, Credit Scoring, behavioral models, economic scenario models or automation activities related to validation when required
• Model validation including assessing conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model’s predictive power and its robustness uncertainty through the development and use of alternative benchmark models and compliance assessment against the relevant regulatory standards
• Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement
• Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

 

 

 

 

 

Job Requirements

 

 

Mandatory Skills

 

• Qualifications:  
  • Advanced degree in Math, Statistics, Economics or any other Analytical disciplines
  • Any Graduate + MBA in finance with relevant experience/exposure.
• Additional certifications: Professional Certification such as FRM, CFA preferred
• Total Experience: Prior experience of 1-3 year (Executive) / 3-5 years (Senior) 5-8 years (Assistant Manager) working in the Risk Management/Analytics division in large banks and/or tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred

 

Preferred Skills 

 

• Programming skills: SAS (primary, minimum requirement), Python (secondary) and R (tertiary).
• Advanced statistical and quantitative modelling skills (linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, CHAID and other data mining/predictive modelling skills)
• Strong understanding of regulatory requirements related to model risk management including but not limited to SR11-7/SR15-18/CCAR/DFAST/CECL
• Excellent written and verbal communication skills
• Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations without compromising on quality, and ethical standards and values
• Ability to multi-task and handle client conversations
• Team player
• Self-driven
• Ability to work independently and motivate team members

 

Other Information

Number of interview rounds 4 Mode of interview Telephonic/F2F/Virtual Job location Bangalore/ Gurgaon Clean room policy (specific to business) Yes/No

Culture

 

Corporate Social Responsibility programs

 

 

Maternity and paternity leave

 

 

Opportunities to network and connect

 

 

Discounts on products and services

 

Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.

© 2020 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.

The term “KGS” refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited (“KGSPL”), KPMG Global Services Management Private Limited (“KGSMPL”), KPMG Global Delivery Center Private Limited (“GDCPL”) and KPMG Resource Centre Private Limited (“KRCPL”), unless the specific private limited entity is specifically noted.

Use in these materials of the term “Our”, or “Us” means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as “KGS”.

Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.

KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

 

 

 

 

 

 

                         

KPMG Global Services

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements

The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network.

As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).

Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.

Team Overview

The position in discussion is with the Risk Consulting team at KPMG Global Services at KGS, which is KPMG’s global delivery center and an integral part of the firm’s strategy to enhance innovation, build scalability, and improve profitability globally.

KPMG’s Risk Consulting Advisory Services Practice focuses on fundamental business issues — managing risk, increasing revenues, controlling costs — that organizations, across various industries, should address in order to help them flourish. We help companies to identify and manage risks inherent in business processes and technology systems that support business objectives and provide them with the information needed to help them meet their strategic and financial goals. Our services are divided into 4 service line mainly – IT Advisory, Internal Audit Risk & Compliance Services, Forensic and Financial Risk Management to help clients mitigate risks across an overall risk spectrum.

 

Roles and Responsibilities

Designation Executive / Senior / Assistant Manager Reporting to Manager Role type Individual contributor Employment type Full-time or fixed-term staff

 

 

 

 

 

We are recruiting for Executive in the statistical & quantitative modeling team. Your responsibilities will include: 

 

• Work with our clients primarily in the US/UK market to assist them in credit risk engagements pertaining to model development/validation.  

 

 

 

• Key engagement responsibilities would be:
• Model development/validation/audit/review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for IRB models as well as for IFRS9/CECL/CCAR/DFAST reporting including PD/EAD/LGD component models. Validation process involves understanding of the relevant regulatory requirements, development document, testing and benchmarking using SAS, R or Python and report writing.
• Assist with other model development/validation activities in Underwriting scorecard, Credit Scoring, behavioral models, economic scenario models or automation activities related to validation when required
• Model validation including assessing conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model’s predictive power and its robustness uncertainty through the development and use of alternative benchmark models and compliance assessment against the relevant regulatory standards
• Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement
• Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

 

 

 

 

 

Job Requirements

 

 

Mandatory Skills

 

• Qualifications:  
  • Advanced degree in Math, Statistics, Economics or any other Analytical disciplines
  • Any Graduate + MBA in finance with relevant experience/exposure.
• Additional certifications: Professional Certification such as FRM, CFA preferred
• Total Experience: Prior experience of 1-3 year (Executive) / 3-5 years (Senior) 5-8 years (Assistant Manager) working in the Risk Management/Analytics division in large banks and/or tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred

 

Preferred Skills 

 

• Programming skills: SAS (primary, minimum requirement), Python (secondary) and R (tertiary).
• Advanced statistical and quantitative modelling skills (linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, CHAID and other data mining/predictive modelling skills)
• Strong understanding of regulatory requirements related to model risk management including but not limited to SR11-7/SR15-18/CCAR/DFAST/CECL
• Excellent written and verbal communication skills
• Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations without compromising on quality, and ethical standards and values
• Ability to multi-task and handle client conversations
• Team player
• Self-driven
• Ability to work independently and motivate team members

 

Other Information

Number of interview rounds 4 Mode of interview Telephonic/F2F/Virtual Job location Bangalore/ Gurgaon Clean room policy (specific to business) Yes/No

Culture

 

Corporate Social Responsibility programs

 

 

Maternity and paternity leave

 

 

Opportunities to network and connect

 

 

Discounts on products and services

 

Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.

© 2020 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.

The term “KGS” refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited (“KGSPL”), KPMG Global Services Management Private Limited (“KGSMPL”), KPMG Global Delivery Center Private Limited (“GDCPL”) and KPMG Resource Centre Private Limited (“KRCPL”), unless the specific private limited entity is specifically noted.

Use in these materials of the term “Our”, or “Us” means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as “KGS”.

Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.

KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

 

 

 

 

 

 

                         

KPMG Global Services

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements

The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network.

As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).

Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.

Team Overview

The position in discussion is with the Risk Consulting team at KPMG Global Services at KGS, which is KPMG’s global delivery center and an integral part of the firm’s strategy to enhance innovation, build scalability, and improve profitability globally.

KPMG’s Risk Consulting Advisory Services Practice focuses on fundamental business issues — managing risk, increasing revenues, controlling costs — that organizations, across various industries, should address in order to help them flourish. We help companies to identify and manage risks inherent in business processes and technology systems that support business objectives and provide them with the information needed to help them meet their strategic and financial goals. Our services are divided into 4 service line mainly – IT Advisory, Internal Audit Risk & Compliance Services, Forensic and Financial Risk Management to help clients mitigate risks across an overall risk spectrum.

 

Roles and Responsibilities

Designation Executive / Senior / Assistant Manager Reporting to Manager Role type Individual contributor Employment type Full-time or fixed-term staff

 

 

 

 

 

We are recruiting for Executive in the statistical & quantitative modeling team. Your responsibilities will include: 

 

• Work with our clients primarily in the US/UK market to assist them in credit risk engagements pertaining to model development/validation.  

 

 

 

• Key engagement responsibilities would be:
• Model development/validation/audit/review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for IRB models as well as for IFRS9/CECL/CCAR/DFAST reporting including PD/EAD/LGD component models. Validation process involves understanding of the relevant regulatory requirements, development document, testing and benchmarking using SAS, R or Python and report writing.
• Assist with other model development/validation activities in Underwriting scorecard, Credit Scoring, behavioral models, economic scenario models or automation activities related to validation when required
• Model validation including assessing conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model’s predictive power and its robustness uncertainty through the development and use of alternative benchmark models and compliance assessment against the relevant regulatory standards
• Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement
• Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

 

 

 

 

 

Job Requirements

 

 

Mandatory Skills

 

• Qualifications:  
  • Advanced degree in Math, Statistics, Economics or any other Analytical disciplines
  • Any Graduate + MBA in finance with relevant experience/exposure.
• Additional certifications: Professional Certification such as FRM, CFA preferred
• Total Experience: Prior experience of 1-3 year (Executive) / 3-5 years (Senior) 5-8 years (Assistant Manager) working in the Risk Management/Analytics division in large banks and/or tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred

 

Preferred Skills 

 

• Programming skills: SAS (primary, minimum requirement), Python (secondary) and R (tertiary).
• Advanced statistical and quantitative modelling skills (linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, CHAID and other data mining/predictive modelling skills)
• Strong understanding of regulatory requirements related to model risk management including but not limited to SR11-7/SR15-18/CCAR/DFAST/CECL
• Excellent written and verbal communication skills
• Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations without compromising on quality, and ethical standards and values
• Ability to multi-task and handle client conversations
• Team player
• Self-driven
• Ability to work independently and motivate team members

 

Other Information

Number of interview rounds 4 Mode of interview Telephonic/F2F/Virtual Job location Bangalore/ Gurgaon Clean room policy (specific to business) Yes/No

Culture

 

Corporate Social Responsibility programs

 

 

Maternity and paternity leave

 

 

Opportunities to network and connect

 

 

Discounts on products and services

 

Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.

© 2020 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.

The term “KGS” refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited (“KGSPL”), KPMG Global Services Management Private Limited (“KGSMPL”), KPMG Global Delivery Center Private Limited (“GDCPL”) and KPMG Resource Centre Private Limited (“KRCPL”), unless the specific private limited entity is specifically noted.

Use in these materials of the term “Our”, or “Us” means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as “KGS”.

Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.

KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.