Sr. Risk Analyst

Posted Yesterday
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Mumbai, Maharashtra, IND
In-Office
3M-3M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Develops and maintains credit risk models, analyzes large datasets, conducts risk assessments and scenario testing, and delivers reports and dashboards to leadership. The role collaborates with product, underwriting, and finance teams on risk appetite and regulatory compliance, performs model validation and back-testing, improves data quality, and mentors junior analysts.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟮𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟲-𝟯𝟮 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: Mumbai

As a Sr. Risk Analyst, you will play a pivotal role in safeguarding the organization’s financial integrity by developing and executing advanced credit risk models, conducting data-driven analyses, and providing actionable insights to senior management. You will leverage your expertise in SQL to extract, transform, and query large datasets from multiple systems, turning raw data into clear, concise risk metrics. Working closely with cross-functional teams, you will translate complex quantitative findings into strategic recommendations that enhance risk mitigation strategies and support business growth. Your analytical acumen, coupled with your ability to communicate findings to both technical and non-technical stakeholders, will ensure that risk assessments remain accurate, compliant, and aligned with industry best practices.


Requirements

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design, develop, and maintain credit risk models and scoring systems using SQL and statistical techniques.

• Extract and manipulate large datasets from relational databases to support credit risk analysis and reporting.

• Conduct in-depth risk assessments, trend analyses, and scenario testing to identify potential credit exposure.

• Collaborate with product, underwriting, and finance teams to refine risk appetite and underwriting guidelines.

• Produce comprehensive risk reports, dashboards, and presentations for senior leadership.

• Monitor regulatory changes and ensure model compliance with relevant standards and guidelines.

• Lead continuous improvement initiatives to optimize data quality and model performance.

• Manage and mentor junior analysts, providing guidance on best practices and career development.

• Participate in cross-functional risk assessment projects, integrating credit, market, and operational risk perspectives.

• Conduct periodic model validation and back-testing to assess predictive accuracy and refine methodologies.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, or a related field.

• 3+ years of experience in credit risk analysis within financial institutions or consulting environments.

• Advanced proficiency in SQL, including complex queries, stored procedures, and performance tuning.

• Strong analytical skills with experience in statistical modeling, probability, and predictive analytics.

• Familiarity with risk modeling tools such as SAS, R, Python, or similar.

• Demonstrated ability to communicate complex risk concepts to diverse audiences.

• Knowledge of regulatory frameworks such as Basel III, Dodd-Frank, or equivalent.

• Proven track record of delivering high-quality reports and actionable insights on time.

• Excellent project management skills, capable of handling multiple priorities concurrently.

• Proactive mindset, continuously seeking innovative solutions to enhance risk evaluation processes.

Skills Required

  • Bachelor's or Master's degree in Finance, Economics, Statistics, or a related field
  • 3+ years of experience in credit risk analysis within financial institutions or consulting environments
  • Advanced SQL proficiency, including complex queries, stored procedures, and performance tuning
  • Experience with statistical modeling, probability, and predictive analytics
  • Familiarity with risk modeling tools such as SAS, R, Python, or similar
  • Ability to communicate complex risk concepts to diverse audiences
  • Knowledge of regulatory frameworks such as Basel III, Dodd-Frank, or equivalent
  • Track record of delivering high-quality reports and actionable insights on time
  • Project management skills and ability to handle multiple priorities concurrently
  • Proactive mindset focused on improving risk evaluation processes
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The Company
HQ: Stockholm
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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