.Net Developer

Insight Global • Jersey City, NJ • 3h ago

Job Description

Day-to-Day

Insight Global is seeking an experienced .Net Developer to join one of our largest financial services clients within the Markets Risk Analytics team. This role supports the Time Series Suite (TSS) application, which is a key component of the firm's broader Market Risk Technology stack. TSS is responsible for maintaining and managing time series data used in market risk calculations, particularly Value at Risk (VaR). The platform ingests large volumes of market data from various sources (e.g., Bloomberg, pricing feeds for equities, bonds, and credit derivatives, etc.), performs validations and transformations, and ensures the data is accurate and available for downstream risk calculations.

The Market Risk Suite is structured into multiple components, including market data, sensitivity data, reference data, and a confirmation/analytics layer, all of which work together to support risk modeling. Within TSS specifically, there are several sub-components responsible for data ingestion, validation, and storage, as well as integrations with external data providers and internal systems. The core legacy application is built in C#/.NET, including the UI layer, while newer or parallel components are being developed in the Quartz platform and Python. These systems operate side-by-side and are integrated within the same market data ecosystem. There is a strong push toward gradually modernizing and migrating functionality from .NET to Quartz/Python-based frameworks.

Day-to-day responsibilities include working as a hands-on developer to support and enhance the existing TSS platform. This involves reading and understanding the current codebase and data flows, implementing enhancements to meet evolving business and regulatory requirements, and contributing to longer-term migration efforts. A key part of the role is ensuring that time series data is onboarded, maintained, and delivered accurately and in a timely manner, as the business is highly dependent on reliable data for risk calculations. Given the nature of the platform, the role also involves working with ETL processes, ensuring efficient data extraction, transformation, and loading across systems. The environment is entirely on-prem, and the work is closely tied to financial risk domains, requiring an understanding of how data supports risk analytics.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Must Haves

7- 8+ years of experience in application development

Strong .NET / C# development experience (hands-on coding and debugging)

Solid SQL skills, including complex queries and joins

Experience with any relational databases such as Sybase or DB2

Experience with ETL processes (data ingestion, transformation, and delivery)

Strong understanding of data flow and data integrity concepts

Strong object-oriented programming fundamentals Plusses

Exposure to or working knowledge of Python (Willingness and ability to learn and work in Python)

Experience in the financial services industry, ideally within market risk or enterprise risk

Familiarity with market data systems and time series data

Experience working with Quartz platform or similar modern frameworks

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