Quantitative Risk Model Developer
hace 3 semanas
Company Overview
Evalueserve is a leading global company that develops innovative and sustainable solutions for clients worldwide. With a presence in over 45 countries, we excel in leveraging technology and expertise to elevate our clients' strategic decision-making and business impact.
We have 4,500+ professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our network extends to emerging markets like Colombia, the Middle East, and the Asia-Pacific region. Recognized by Great Place to Work in multiple countries, we offer a dynamic culture prioritizing flexible work-life balance, diverse teams, and equal opportunities.
About Risk and Quant Solutions (RQS)
Risk and Quant is one of the fastest-growing practices at Evalueserve. As an RQS team member, you'll address large financial needs with proven solutions, solving banking challenges and improving decision-making with award-winning results.
Job Description
As a Quantitative Risk Model Developer, you will oversee model development, coding, implementation, maintenance, and validation, adhering to academic and industry best practices. Key responsibilities include:
- Managing ongoing model maintenance and quarterly monitoring, identifying areas for improvement.
- Performing ad hoc analyses of business situations, data issues, and problems, researching new technologies for risk mitigation.
- Partnering with IT to create/improve structured data, performing daily data maintenance and management, and consulting on best practices.
- Providing high-quality analysis results in acceptable formats for management, peer, and audit reviews.
- Creating comprehensive documentation of end-to-end processes, highlighting key data touchpoints and critical milestones.
Requirements
To succeed in this role, you should possess:
- A Bachelor's degree in a relevant field, such as Mathematical Science, Financial Engineering, Statistics, Data Science, or Econometrics.
- 3+ years of experience in Credit Risk, Capital Markets, or Market Risk model development or validation.
- Proficiency in languages like Python, R, SQL, or SAS for data manipulation, analysis, and automation.
- Strong MS Office skills and ability to conduct data analysis, derive valuable insights, and support decision-making.
- Good verbal and written English communication skills, with a proven ability to present model results to non-technical audiences.
- Demonstrated ability to work collaboratively within cross-functional teams, with strong problem-solving and independent motivation.
Compensation and Benefits
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience. We also offer a dynamic, growth-oriented culture with flexible work-life balance, diverse teams, and equal opportunities for professional growth.
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