About Invesco 

Invesco is a globally recognized asset management company dedicated to helping investors worldwide achieve their financial goals. With a commitment to providing diverse investment strategies and vehicles, Invesco offers a wide range of investment solutions and is known for its focus on delivering results and excellence in investment management.

Job Overview :

Job Title: Risk Analyst

Location: Hyderabad, Telangana

Time Type: Full Time

If you seek challenging work, intelligent colleagues, and a global employer with a strong sense of social responsibility, come explore your potential at Invesco. Make a difference every day!

Job Description:

Key Responsibilities / Duties:

• Risk: Provide comprehensive and high-quality portfolio risk measurement, quantitative analysis, and reporting, including Value-at-Risk, Stress-Testing, Liquidity & Counterparty risk.
• Project Management: Independently execute risk-related projects in coordination with various cross-functional teams.
• Monitoring: Design dashboards and monitor limits for a multi-asset class suite of portfolios.
• Data Management: Assist in building a robust, integrated risk management infrastructure by gathering, mapping, modeling data, and resolving data errors.
• Process Efficiency: Enhance the efficiency and effectiveness of global operational processes by designing custom computer programs, macros, and queries.
• Support senior team members in research, quantitative, and qualitative analysis of portfolios.

Work Experience/Knowledge:

• 2-5 years of experience in the Risk Analytics domain.
• Proficiency in SQL database queries, advanced Excel functions, and VBA.
• Working knowledge of at least one programming language; Python or R is an advantage but not mandatory.
• Familiarity with systems such as MSCI RiskMetrics, Barra, Bloomberg, etc., is a plus.
• Solid understanding of risk measurement techniques, including VaR, Sensitivities, Stress Testing, and Tracking Error.
• Expert understanding of various financial instruments and their pricing methodologies, including equities, bonds, and derivatives.
• Sound knowledge of econometrics and factor models.

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Formal Education:

• Bachelor’s/Master’s degree in a quantitative subject such as Finance, Statistics, Financial Engineering, or Computer Science.

License/Registration/Certification:

• CFA, FRM candidates, or MBA (Finance) is desirable but not mandatory.

Skills/Competencies/Attributes:

• Effective collaboration in a team-oriented environment.
• Highly motivated and a self-starter.
• Strong research capability.
• Excellent time management, able to work under pressure.
• Exceptional problem-solving skills.
• Strong verbal and written communication skills.
• Ability to conduct complex analysis and present data effectively.
• Strong organizational skills and attention to detail.
• Open-minded, flexible, and willing to consider others’ opinions.
• Interpersonal skills required for effective phone communication with individuals at all technical levels.

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