Business Analysis Expert (Climate Risk Experience)
at Capgemini
Montréal, QC, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Nov, 2024 | USD 34 Hourly | 29 Aug, 2024 | 10 year(s) or above | Agile Methodologies,Equity Derivatives,Hadoop,Financial Instruments,Spark,Python,Process Modeling,Pandas,Data Analysis,Credit Derivatives,Risk Modeling,Data Models,Presentation Skills,Linux,Hive | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
We are seeking a seasoned Business Analysis Expert with specialized experience in climate risk. The ideal candidate will have a strong background in risk modeling, financial instruments, and market and counterparty risk management. This role requires extensive data analysis skills, proficiency in big data technologies, and the ability to articulate complex requirements and analyses to both business users and development teams.
Role Details:
- Title: Business Analysis Expert with Climate Risk Experience
- Experience Required: 10+ years
- Educational Requirement: Bachelor’s degree in Sciences, Information Technology, Computer Science, or other quantitative disciplines
Key Responsibilities:
- Work on projects related to pricing/risk and market and credit/counterparty data for risk engines, utilizing Agile methodologies.
- Model different product types including Bonds, Equity, FX, etc., for market and counterparty credit risk exposures.
- Understand and analyze financial instruments including Rates Derivatives, Credit Derivatives, Equity Derivatives, FX Options & FX Cash, and their valuation.
- Utilize knowledge of market and counterparty risk management in project execution.
- Document requirements, summarize data analysis, and present findings to business users and the development team.
- Use Python, Anaconda, Pandas, Jupyter, Linux, Hadoop, Hive, Spark, and other big data technologies for data analysis and project execution.
- Analyze large data sets using SQL queries and other modeling tools.
- Produce and use data catalogues, understand data models, and perform business process modeling.
- Build enterprise-scale applications involving large data volumes and computations.
Required Skills:
- Agile Methodologies
- Pricing/Risk Projects
- Market and Counterparty Credit Risk Modeling
- Financial Instruments (Rates Derivatives, Credit Derivatives, Equity Derivatives, FX Options & FX Cash)
- Risk Management
- Data Analysis
- SQL Queries
- Data Catalogues
- Data Models
- Business Process Modeling
- Enterprise Scale Applications
- Python, Anaconda, Pandas, Jupyter
- Linux
- Hadoop, Hive, Spark
- Documentation Skills
- Presentation Skills
The pay range that the employer in good faith reasonably expects to pay for this position is $34.67/hour - $54.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis
Responsibilities:
Role Details:
- Title: Business Analysis Expert with Climate Risk Experience
- Experience Required: 10+ years
- Educational Requirement: Bachelor’s degree in Sciences, Information Technology, Computer Science, or other quantitative discipline
Key Responsibilities:
- Work on projects related to pricing/risk and market and credit/counterparty data for risk engines, utilizing Agile methodologies.
- Model different product types including Bonds, Equity, FX, etc., for market and counterparty credit risk exposures.
- Understand and analyze financial instruments including Rates Derivatives, Credit Derivatives, Equity Derivatives, FX Options & FX Cash, and their valuation.
- Utilize knowledge of market and counterparty risk management in project execution.
- Document requirements, summarize data analysis, and present findings to business users and the development team.
- Use Python, Anaconda, Pandas, Jupyter, Linux, Hadoop, Hive, Spark, and other big data technologies for data analysis and project execution.
- Analyze large data sets using SQL queries and other modeling tools.
- Produce and use data catalogues, understand data models, and perform business process modeling.
- Build enterprise-scale applications involving large data volumes and computations
REQUIREMENT SUMMARY
Min:10.0Max:15.0 year(s)
Financial Services
Analytics & Business Intelligence
Finance
Graduate
Proficient
1
Montréal, QC, Canada