Job Description
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet ) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories .
About Wells Fargo India
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
Department Overview:
Corporate Model Risk: Wells Fargo's Corporate Model Risk is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model's life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.
About the Role:
CMoR operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with CMoR's recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators.
Responsibilities:
• A Senior Quantitative Analytics Specialist is an individual contributor role in the Capital Markets Track. This team deals with developing and validating mathematical models for pricing and hedging complex financial instruments for asset classes such as Equity, FX and Commodity and models related to counterparty credit risk (CVA, PFE) and market risk (VaR, Expected Shortfall). We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member
Essential Skills:
• 5-8 years of experience with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
• Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
• Producing required documentation to substantiate model validation
• Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
Desired Skills:
• Strong mathematical, statistical, analytical and computational skills
• Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Ability to work independently on complex model validations from start to finish
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Attention to detail in both analytics and documentation
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
• Intellectually curious, who enjoy solving problems
• Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, ****** orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, ****** orientation, gender identity, national origin, disability, or status as a protected veteran.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet ) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories .
About Wells Fargo India
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
Department Overview:
Corporate Model Risk: Wells Fargo's Corporate Model Risk is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model's life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.
About the Role:
CMoR operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with CMoR's recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators.
Responsibilities:
• A Senior Quantitative Analytics Specialist is an individual contributor role in the Capital Markets Track. This team deals with developing and validating mathematical models for pricing and hedging complex financial instruments for asset classes such as Equity, FX and Commodity and models related to counterparty credit risk (CVA, PFE) and market risk (VaR, Expected Shortfall). We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member
Essential Skills:
• 5-8 years of experience with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
• Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
• Producing required documentation to substantiate model validation
• Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
Desired Skills:
• Strong mathematical, statistical, analytical and computational skills
• Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Ability to work independently on complex model validations from start to finish
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Attention to detail in both analytics and documentation
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
• Intellectually curious, who enjoy solving problems
• Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, ****** orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, ****** orientation, gender identity, national origin, disability, or status as a protected veteran.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process
💡 Quick Summary
Seeking a career-building opportunity? The Corporate Risk position is now open for candidates interested in the Bank Jobs sector. This role in Bangalore 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.
