Senior Developer - Risk Technology - C# .NET, Python, Snowflake SQL (Vice President)

Posted 6 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Financial Services
The Role
Build, optimize, and support a scalable AWS cloud risk platform that computes risk for cash and derivative trades using Snowflake-stored data. Develop Python-based risk engines, improve distributed computation performance, reconcile outputs with legacy systems, troubleshoot pricing/risk issues, collaborate with IT teams, and participate in on-call support.
Summary Generated by Built In

Description

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.

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. 

The Orchestration team are responsible for building and supporting Jefferies cloud based cross asset risk management platform. The system generates risk reports for tens of thousands of cash and derivative trades which the firms risk managers use to assess Jefferies exposure to movements in equity prices, interest rates, FX rates, volatility and other market inputs. The system leverages a combination of external vendor and internally developed analytics libraries to handle curve and vol surface construction and pricing of trades.

We are seeking a hands‑on Senior Developer to build and operate a high‑scalable, AWS cloud-based risk platform leveraging a Snowflake database containing trade data, reference data and market data needed to produce the firm's risk. The majority of development is done in Python. The ideal candidate brings deep knowledge of distributed systems and data structures, and can optimize for performance, reliability, and cost.

Primary Responsibilities

  • Design, implement, and support scalable Python based risk engines leveraging position, reference and market data stored in Snowflake databases
  • Optimize the risk generation process to deliver accurate risk results in the least possible time
  • Optimize distributed computation using strong data structures and algorithms
  • Reconcile risk results produced by the new Orchestration platform with metrics from legacy internal risk systems to identify and correct trade breaks
  • Investigate pricing and risk issues reported by risk management
  • Collaborate with other internal IT teams to ensure a seamless end to end process for delivering risk.
  • Participate in an on-call support rota

Essential Experience/ Skills

  • 7+ years of development experience, Python & ideally C# .NET.
  • Experience building and supporting pricing and risk management systems for one or more of the following asset classes (in order of importance) equities, fixed income, credit, FX & commodities
  • Understanding of cash and derivative products and the risk measures for each i.e. delta, gamma, vega, theta, rho etc. 
  • Understanding of the market data required to generate risk i.e. yield curves, volatility surfaces, credit curves, correlation matrices, spot fx etc
  • Understanding of VAR, historical PNL vector generation, PNL generation, PNL attribution, custom risk scenarios etc   
  • CI/CD, unit testing (pytest), and observability tooling.
  • Strong grasp of distributed computing
  • Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Nice to have

  • Snowflake SQL expertise
  • AWS Cloud experience – Including EC2 & S3 experience
  • Airflow/MWAA or equivalent job scheduler experience
  • Kubernetes, EKS, Lambda or serverless experience in AWS as beneficial
  • Messaging layer experience ZMQ, RabbitMQ, Kafka etc.

Personal Attributes

  • Team player with strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex pricing issues and risk issues
  • Strong verbal and written communication skills
  • Self-starter and entrepreneurial in approach
  • Ability to escalate and follow-up proactively
  • Good time management skills
  • Attention to detail

#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 development experience
  • Python development experience
  • Experience building and supporting pricing and risk management systems (equities, fixed income, credit, FX, commodities)
  • Understanding of cash and derivative products and risk measures (delta, gamma, vega, theta, rho)
  • Understanding of market data required to generate risk (yield curves, volatility surfaces, credit curves, correlation matrices, spot FX)
  • Understanding of VAR, historical PNL vector generation, PNL generation, PNL attribution, custom risk scenarios
  • CI/CD and unit testing (pytest)
  • Observability tooling experience
  • Strong grasp of distributed computing
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or similar technical discipline
  • C# .NET
  • Snowflake SQL expertise
  • AWS Cloud experience (including EC2 & S3)
  • Airflow/MWAA or equivalent job scheduler experience
  • Kubernetes, EKS, Lambda or serverless experience in AWS
  • Messaging layer experience (ZMQ, RabbitMQ, Kafka)

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.

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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.

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