Risk Lead
- Employer
- Barclays
- Location
- Wilmington, USA
- Salary
- Competitive
- Closing date
- Jun 1, 2022
View more
- Job Function
- Banking
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Barclays Bank Delaware
What will you be doing?
• Perform statistical analysis and utilize comprehensive knowledge of analytical skills to perform quantitative and qualitative analysis and research to create strategies for credit underwriting decisions (approve/decline, price and credit limit), marketing channel optimization and targeting, product analytics, segmentation, and management information and data management.
• Develop Valuation Engines using Machine Learning statistical methods for all consumer and business card portfolios.
• Build account level valuation to support profit maximization.
• Work with Finance, Decision Science, Risk and Fraud teams to acquire inputs to the valuations model.
• Ensure accurate valuations can be created in the stipulated time lines.
• Conduct semi-annual valuation updates for all the Cards products and Loan products.
• Present valuation findings to senior leadership team and address the Check and Challenge questions from 2LOD (second line of defense) team.
• Perform outcome analysis, including back testing and benchmarking, for annual model performance review.
• Develop new loss forecast models and forecast credit losses at regular intervals for US portfolio and provide summarized findings to various levels of stakeholders and management to help drive business key accountabilities.
• Utilize knowledge of Loan Loss Reserve (LLR) calculation and IFRS9 (International Financial Reporting Standard 9) and change loss methodology for calculation of expected credit losses on consumer portfolios.
• Mentor junior colleagues and manage vendor team.
What we're looking for:
Requires minimum of Master's degree or foreign equivalent in Statistics, Engineering, Economics, Mathematics, Finance, or closely related quantitative field and 2 years of experience in the position offered or as a Strategic Analytics Analyst, Credit Analyst, Risk Analyst, or closely related occupation, in the credit card/banking industry. In the alternative, will accept Bachelor's degree in specified fields and 5 years of experience in the specified occupations. Any suitable combination of
education, experience or training is acceptable. Demonstrated experience must include:
• Utilizing knowledge of credit card business and statistical modeling techniques to evaluate and develop strategies;
• Utilizing statistical techniques, including linear regression and segmentation (CHAID) analysis and loss forecasting, to develop credit/risk underwriting and line assignment strategies for acquisition and portfolios management and creating predictive models for target variables and pricing strategies;
• Utilizing SAS/SQL programming languages to retrieve and analyze internal and external data for advanced statistical analysis, business forecasting, performance reporting, and decision support;
• Performing analysis and reporting of actuals data and process for business/strategy development;
• Utilizing knowledge of LLR calculation and IFRS9 and changing loss methodology to measure expected credit loss.
• Utilizing Machine Learning techniques, such as Nearest Neighborhood algorithm, to forecast customer product usage behavior; and
• Utilizing statistical modeling techniques, such as Monte Carlo simulation and Nearest Neighborhood algorithm, to create valuation models for the credit card portfolio.
Where will you be working?
Barclays' Wilmington campus includes two beautiful buildings located along the historic Wilmington, DE Riverfront. A glance out our windows reveal a scenic look at the Christiana River, along with a growing riverfront community of luxury apartments, shops, and restaurants. Additionally, the Wilmington train station is a short walk away making travel from New York and Washington, DC convenient.
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Our Values
Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.
Our Diversity
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.
Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.
Our Benefits
Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.
This position is eligible for incentives pursuant to Barclays' Employee Referral Program
What will you be doing?
• Perform statistical analysis and utilize comprehensive knowledge of analytical skills to perform quantitative and qualitative analysis and research to create strategies for credit underwriting decisions (approve/decline, price and credit limit), marketing channel optimization and targeting, product analytics, segmentation, and management information and data management.
• Develop Valuation Engines using Machine Learning statistical methods for all consumer and business card portfolios.
• Build account level valuation to support profit maximization.
• Work with Finance, Decision Science, Risk and Fraud teams to acquire inputs to the valuations model.
• Ensure accurate valuations can be created in the stipulated time lines.
• Conduct semi-annual valuation updates for all the Cards products and Loan products.
• Present valuation findings to senior leadership team and address the Check and Challenge questions from 2LOD (second line of defense) team.
• Perform outcome analysis, including back testing and benchmarking, for annual model performance review.
• Develop new loss forecast models and forecast credit losses at regular intervals for US portfolio and provide summarized findings to various levels of stakeholders and management to help drive business key accountabilities.
• Utilize knowledge of Loan Loss Reserve (LLR) calculation and IFRS9 (International Financial Reporting Standard 9) and change loss methodology for calculation of expected credit losses on consumer portfolios.
• Mentor junior colleagues and manage vendor team.
What we're looking for:
Requires minimum of Master's degree or foreign equivalent in Statistics, Engineering, Economics, Mathematics, Finance, or closely related quantitative field and 2 years of experience in the position offered or as a Strategic Analytics Analyst, Credit Analyst, Risk Analyst, or closely related occupation, in the credit card/banking industry. In the alternative, will accept Bachelor's degree in specified fields and 5 years of experience in the specified occupations. Any suitable combination of
education, experience or training is acceptable. Demonstrated experience must include:
• Utilizing knowledge of credit card business and statistical modeling techniques to evaluate and develop strategies;
• Utilizing statistical techniques, including linear regression and segmentation (CHAID) analysis and loss forecasting, to develop credit/risk underwriting and line assignment strategies for acquisition and portfolios management and creating predictive models for target variables and pricing strategies;
• Utilizing SAS/SQL programming languages to retrieve and analyze internal and external data for advanced statistical analysis, business forecasting, performance reporting, and decision support;
• Performing analysis and reporting of actuals data and process for business/strategy development;
• Utilizing knowledge of LLR calculation and IFRS9 and changing loss methodology to measure expected credit loss.
• Utilizing Machine Learning techniques, such as Nearest Neighborhood algorithm, to forecast customer product usage behavior; and
• Utilizing statistical modeling techniques, such as Monte Carlo simulation and Nearest Neighborhood algorithm, to create valuation models for the credit card portfolio.
Where will you be working?
Barclays' Wilmington campus includes two beautiful buildings located along the historic Wilmington, DE Riverfront. A glance out our windows reveal a scenic look at the Christiana River, along with a growing riverfront community of luxury apartments, shops, and restaurants. Additionally, the Wilmington train station is a short walk away making travel from New York and Washington, DC convenient.
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Our Values
Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.
Our Diversity
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.
Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.
Our Benefits
Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.
This position is eligible for incentives pursuant to Barclays' Employee Referral Program
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