TriOptus
Website:
trioptus.com
Job details:
Sr. Risk Data Analyst
Location: Remote – PAN India
Contract Duration: 6 Months
Domain: Banking – Mandatory
Experience: 8–10+ Years
Qualification: Graduate; MBA in Finance or equivalent preferred; CFA / FRM preferred
Job Purpose
As a Sr. Risk Data Analyst, you will be responsible for planning and providing high-quality analytical inputs to support the development and implementation of innovative processes and problem resolution across Risk Data acquisition, aggregation, calculations and reporting.
You will capture, validate and document business and data requirements, ensuring that they are aligned with key strategic principles.
You will interrogate, interpret and visualize large volumes of data to identify, support and challenge business opportunities. You will develop solutions and contribute to complex, data-driven solutions that support changing business demands and deliver the best possible outcomes for stakeholders.
Key Result Areas
- Work closely with Credit Risk Model Development, Risk Appetite, Portfolio Management, BASEL – Capital Management and IFRS 9 Reporting teams for Wholesale Banking.
- Demonstrate a very good understanding of Investment Banking and financial products, Credit Risk, BASEL Capital Requirements, Wholesale Credit Risk Model Data, Stress Testing, and Risk Data Management.
- Develop expertise in Risk Data Management, including Data Collection, Data Aggregation, Calculations and Reporting.
- Work closely with IT partners to deliver business solutions for migrated legacy systems and align the strategic direction of Risk Data with the target system.
- Apply deep understanding and hands-on experience in the automation of repetitive tasks using SQL Blocks, Python and MS Excel Macros for short-term solutions while working toward providing strategic solutions.
- Take on new challenges in Risk and Finance Data Controls and contribute to shaping the future of Risk Data Management and standards within the bank.
- Help manage the analysis of complex data to identify business issues and opportunities.
- Support the delivery of high-quality business solutions.
- Work as part of a vibrant and forward-looking team and contribute to shaping the future of the business through Risk Data Management.
Operating Environment, Framework and Boundaries
- Demonstrate strong teamwork, punctuality, innovation and willingness to take on additional responsibility.
- Focus on increasing process efficiency, automation and value-added services.
- Adhere to various ERM policies, Bank Operating Processes and Procedures.
- Maintain strict confidentiality of bank and vendor information, documents and other confidential data.
- Provide assistance and analytical inputs for Risk Reporting.
- Escalate any instances of internal misconduct, breach of code of ethics, confidentiality violations or other relevant concerns in accordance with established policies and procedures.
Problem Solving
The successful candidate will be responsible for:
- Performing data extraction, storage, manipulation, processing and analysis.
- Working closely with Risk, Finance and IT functions of the bank to identify data gaps.
- Gathering and documenting business requirements and working toward creating effective data-driven solutions.
- Seeking opportunities to challenge and improve existing business processes while ensuring the best possible results for stakeholders.
- Creating and executing quality assurance activities at various stages of projects to validate analysis.
- Validating data quality and identifying data inconsistencies, followed by appropriate resolution.
- Supporting the identification and resolution of complex data and business issues through structured analysis and solutioning.
Decision-Making Authority and Responsibility
- Possess basic knowledge and responsibility for assisting in governance, controls and operations.
- Report data accuracy with regards to influenced spend, cost save, exceptions and big deals.
- Support appropriate escalation and resolution of data, control and operational issues within the defined governance framework.
- Assist stakeholders in ensuring that data-related activities comply with established bank policies, processes and standards.
Knowledge, Skills and Experience
- Graduate with a minimum of 8–10 years of experience in Credit Risk, Risk Data Management Framework, Basel III and Model Data Management.
- MBA in Finance or equivalent qualification is preferred.
- CFA / FRM certification will be preferred.
- Desirable experience in Accounting and Finance.
- Strong Analytical Skills.
- Excellent understanding of Data Gap Analysis and Solutioning.
- Excellent Communication Skills.
- Good knowledge of Data Science, R / Python, SQL and Database Tools.
- Strong understanding of Risk Data Management, Risk Data acquisition, aggregation, calculations and reporting.
- Strong understanding of Credit Risk and Wholesale Credit Risk Model Data.
- Good knowledge of BASEL III Capital Requirements.
- Understanding of Stress Testing and IFRS 9 Reporting.
- Understanding of Investment Banking and Financial Products.
- Hands-on experience in automating repetitive tasks using SQL Blocks, Python and MS Excel Macros.
- Ability to work effectively with Risk, Finance and IT stakeholders.
- Strong experience in data extraction, processing, manipulation, analysis, validation and visualization.
- Strong understanding of data quality, data controls, governance and reporting.
- Teamwork, punctuality, innovation and willingness to take on more responsibility.
- Professional, with a proven track record of integrity and ethical values without any doubt.
- Ability to maintain strict confidentiality of bank and vendor information and documents.
- Strong problem-solving, stakeholder-management and decision-making capabilities.
Key Functional Areas
Credit Risk | Risk Data Management | Basel III | Wholesale Banking | Investment Banking | Risk Appetite | Portfolio Management | Capital Management | IFRS 9 | Stress Testing | Model Data Management | Risk Data Acquisition | Data Aggregation | Data Calculations | Risk Reporting | Data Controls | Data Governance | Data Quality | Data Gap Analysis | SQL | Python | R | Excel Macros | Database Tools | Data Science
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