Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure (Assistant Vice President)

Posted 4 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Senior level
Financial Services
The Role
Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.
Summary Generated by Built In

Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure

Position / Group description:

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit. 

We are seeking a Market Data Developer to design and implement solutions for sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS, and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide accurate and timely market data inputs for pricing engines and risk models.

Primary Responsibilities: 

  • Data Sourcing & Integration 
    • Source EOD market data by region from various front-office marking systems and external providers. 
    • Validate and normalize data across asset classes for pricing and risk consumption.
  • Data Modeling & Storage
    • Design and implement data models in Snowflake to persist:  End-of-day prices, Volatility surfaces, Credit spread curves, Discount curves and other risk-related market data
  • Infrastructure Development 
    • Provide solutions to pricing engines to deliver market data by region with high reliability and performance.
    • Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance.
    • Implement data quality checks and ensure auditability.
    • Integrate with AWS SQS messaging for data readiness events.
  • Collaboration 
    • Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
    • Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.

Essential Experience/ Skills: 

  • 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms. 
  • Technical 
    • Strong Python (pandas, numpy, data engineering best practices).
    • Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
    • ETL/ELT pipeline development
  • Domain Knowledge 
    • Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities). 
    • Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
  • Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Personal Attributes:

  • Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
  • Strong verbal and written communication skills
  • Self-starter and entrepreneurial in approach
  • Ability to escalate and follow-up proactively
  • Good time management skills

#LI-JD1


About Us

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.

Skills Required

  • 7+ years developing applications using relational databases and big-data platforms
  • Strong Python (pandas, numpy, data engineering best practices)
  • Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization)
  • ETL/ELT pipeline development experience
  • Experience with AWS and AWS SQS integration
  • Domain knowledge of market data across multiple asset classes (Rates, FX, Credit, Equities, Commodities)
  • Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or similar

Jefferies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jefferies and has not been reviewed or approved by Jefferies.

  • Strong & Reliable Incentives Compensation is positioned as competitive with meaningful upside, with potential for significant earnings depending on group performance and strong years. A formulaic, performance-linked bonus model ties payouts to individual fees or P&L, reinforcing a pay-for-results dynamic.
  • Parental & Family Support Family-building support is broad, including primary and non-primary caregiver leave, adoption assistance, subsidized emergency child and eldercare, and a $25,000 stipend for qualified surrogacy, adoption, or fertility support. Added resources like family support programs and parental-leave coaching further strengthen caregiver benefits.
  • Wellbeing & Lifestyle Benefits Lifestyle perks extend beyond standard coverage, including discount programs, commuter benefits, legal plans, charitable matching, and education assistance such as tuition support and scholarships for employees’ family members. Location-specific perks like gym stipends and free cafeteria lunch are also described as available in some offices.

Jefferies Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
6,435 Employees
Year Founded: 1962

What We Do

Jefferies, the global investment banking firm, has served companies and investors for 60 years. Headquartered in New York, with offices in over 30 cities around the world, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, as well as asset and wealth management. The firm provides research and execution services in equity, fixed income, and foreign exchange markets, as well as a full range of investment banking services including underwriting, mergers and acquisitions, restructuring and recapitalization, and other advisory services, with all businesses operating in the Americas, Europe and Asia. Jefferies Group LLC is a wholly-owned subsidiary of Jefferies Financial Group (NYSE: JEF), a diversified financial services company. More about our company can be found at www.jefferies.com.

Similar Jobs

Airwallex Logo Airwallex

Senior Associate, Revenue Strategy & Enablement, EMEA

Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
In-Office
3 Locations
2300 Employees

Airwallex Logo Airwallex

Manager, Revenue Strategy & Enablement, EMEA

Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Hybrid
3 Locations
2300 Employees

SEON Logo SEON

Account Manager

Artificial Intelligence • Cybersecurity
Hybrid
London, Greater London, England, GBR
415 Employees

Legora Logo Legora

Team Lead

Artificial Intelligence • Legal Tech • Software
In-Office
London, Greater London, England, GBR
700 Employees

Similar Companies Hiring

Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account