Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.
Job DescriptionThe individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.
This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.
Primary Responsibilities
- Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
- Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
- Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
- Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
- Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
- Drive improvements in automation, data validation, transparency, and modernization of risk processes.
Required Qualifications and Experience
- Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
- Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
- Python experience for data processing, analytics, and automation.
- Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
- Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
- Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
- Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
Preferred Qualifications and Experience
- Experience with risk platforms, pricing engines, or market data systems.
- Familiarity with structured credit or whole loan analytics.
- Experience working with cloud platforms such as Azure or Snowflake.
- Understanding of credit and market risk regulatory frameworks.
- Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.
Skills Required
- 5+ years of technology experience in Market Risk or Credit Risk environments
- Strong SQL skills for analytics and modeling
- Python experience for data processing and automation
- Experience with ETL pipelines and data validation
- Bachelor's or Master's degree in a related field
What We Do
Vichara Technologies is a niche technology services and solutions firm focused on solving complex Capital Markets challenges. Vichara’s solutions include valuation, analytics and risk management for fixed income asset classes with special focus on structured products (RMBS, CLO, CDO, CMBS/CRE, Whole Loans). vLens, our mortgage data platform allows for analysis of large mortgage data sets. Our philosophy is to provide most granular, accurate and timely analysis. Our clients take advantage of having insights before their competitors. We aim to provide exactly what you want and increase your productivity many folds by streamlining your investment process. Vichara also provides technology consulting, custom software development, system integration and infrastructure management services. Over the last decade, Vichara has built mission critical enterprise systems for securities trading, portfolio management, asset securitization, trading analytics, modeling, risk management, accounting and financial operations for many of the world’s leading financial institutions across the globe
