Job Description
Job Responsibilities -
- Build statistical models involving multiple techniques like Logistic Regression, GLM etc.
- Extract data from multiple platforms and conduct analysis using statistical and mathematical methodologies and tools
- Ensure all deliverables meet client expectations in terms of scope, speed & quality.
- Strong problem solving skills - the ability to ask the right questions, formulate a comprehensive set of hypothesis, identify significant factors, and adopt the appropriate solution framework need based product solutions
- Create detailed documentation outlining design and technical specifications of each solution
- Play a business development role and generate additional projects from other clients within the organization
Work Experience :
- 2+ years of work experience developing risk models (IFRS+) in Retail Banking.
- Sector knowledge and experience of working in the area of Credit Risk; ideally experience of working with Credit Risk data warehouses and Credit Risk models in particular including Operational, Capital and Impairment models
Domain Experience:
- Expert knowledge of modern risk management techniques within Retail Banking, and in the use of risk models within such an environment.
- Experienced in the extraction and manipulation of data to support risk model development, including defining observation periods, outcome periods, choosing a suitable "bad" definition.
Education:
A post graduate degree in a numerate subject (e.g. mathematics, statistics, operational research, economics or MBA) from a reputed institute with knowledge of advanced statistical and analytical techniques.
Tools & Certifications:
- Experienced and competent in the use of statistical packages e.g. SAS (including dealing with large datasets) and model development environments.
Other Desired Qualifies:
- Good communication (both written and verbal) skills,
- Identifies key project stakeholders and develops an appropriate stakeholder communication plan.
- Engages with a diverse group of stakeholders to influence direction of projects to meet the project milestones.
RoleEngineering Manager
Industry TypeBanking
Functional AreaEngineering - Software & QA
Employment TypeFull Time, Permanent
Role CategorySoftware Development
Education
UG :Any Graduate
PG :M.A in Maths, Economics, Statistics, MS/M.Sc(Science) in Maths, Statistics, MBA/PGDM in Any Specialization
Doctorate :Doctorate Not Required
Key Skills
SASSQL
- Build statistical models involving multiple techniques like Logistic Regression, GLM etc.
- Extract data from multiple platforms and conduct analysis using statistical and mathematical methodologies and tools
- Ensure all deliverables meet client expectations in terms of scope, speed & quality.
- Strong problem solving skills - the ability to ask the right questions, formulate a comprehensive set of hypothesis, identify significant factors, and adopt the appropriate solution framework need based product solutions
- Create detailed documentation outlining design and technical specifications of each solution
- Play a business development role and generate additional projects from other clients within the organization
Work Experience :
- 2+ years of work experience developing risk models (IFRS+) in Retail Banking.
- Sector knowledge and experience of working in the area of Credit Risk; ideally experience of working with Credit Risk data warehouses and Credit Risk models in particular including Operational, Capital and Impairment models
Domain Experience:
- Expert knowledge of modern risk management techniques within Retail Banking, and in the use of risk models within such an environment.
- Experienced in the extraction and manipulation of data to support risk model development, including defining observation periods, outcome periods, choosing a suitable "bad" definition.
Education:
A post graduate degree in a numerate subject (e.g. mathematics, statistics, operational research, economics or MBA) from a reputed institute with knowledge of advanced statistical and analytical techniques.
Tools & Certifications:
- Experienced and competent in the use of statistical packages e.g. SAS (including dealing with large datasets) and model development environments.
Other Desired Qualifies:
- Good communication (both written and verbal) skills,
- Identifies key project stakeholders and develops an appropriate stakeholder communication plan.
- Engages with a diverse group of stakeholders to influence direction of projects to meet the project milestones.
RoleEngineering Manager
Industry TypeBanking
Functional AreaEngineering - Software & QA
Employment TypeFull Time, Permanent
Role CategorySoftware Development
Education
UG :Any Graduate
PG :M.A in Maths, Economics, Statistics, MS/M.Sc(Science) in Maths, Statistics, MBA/PGDM in Any Specialization
Doctorate :Doctorate Not Required
Key Skills
SASSQL
💡 Quick Summary
Seeking a career-building opportunity? The Manager|Senior Manager | SAS|SQL Modelling | Banking position is now open for candidates interested in the Bank Jobs sector. This role in pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.