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Jefferies

AVP- Python Credit Risk Engineer - Risk Tech

Posted 4 Days Ago
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In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
Develop and support Python-based risk applications for global Risk Management Technology. Design, integrate, test, deploy, and troubleshoot solutions using Numerix services for PFE and other risk measures. Collaborate with quants, business users, project managers, and engineers to deliver scalable solutions, perform functional and regression testing, support production releases, and resolve issues. The role requires Python, SQL, cloud, software development lifecycle, and financial risk technology experience.
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Company 


Jefferies, the global investment banking firm, has served companies and investors for over 50 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 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. 


Position / Group description: 


The Risk Management Technology group provides support to global Risk Management in the areas of technology and information processing for measuring, quantifying, analyzing, controlling, and reporting Risk exposures for traded securities products. 


The position is for an engineer who will be part of Technology team supporting the Global Risk Management Technology group.  The work assignments will include playing a key developer role in major project related work.  Projects will include custom development, implementation and integration of vendor products, and enhancement/support of existing on-premises and cloud-based systems. 


The Role will involve designing, developing, enhancing, testing and implementing solutions to integrate with Numerix services for the calculation of PFE and other risk measures for multiple financial products by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting issues and resolving production problems along with supporting users by developing documentation and assistance tools. 

Primary Responsibilities:  

  • Work as a Software Engineer within Risk Management Technology, contributing to the design, development, testing, deployment, and support of risk applications. 
  • Partner with business users, quants, project managers, developers, and other stakeholders to understand requirements and implement scalable technical solutions. 
  • Perform functional, integration, regression, and non-functional testing to ensure solutions are ready for user acceptance testing. 
  • Verify implementations, troubleshoot issues, support releases, and assist with deployment of system modules into production. 

Essential Experience/ Skills:  

  • Strong Python development skills with 5+ years of relevant application development experience for AVP level. 
  • Strong in Design, multithreading, DSA, hands-on, backend and strong data concepts 
  • Experience and knowledge of SDLC and agile methodologies and development processes such as requirement gathering, analysis and definition, prototyping, proof of concept, designing and implementation 
  • Strong SQL skills and experience on Snowflake, Oracle or other RDBMS data platforms 
  • Experience across a broad range of AWS services (Amazon EKS, Lambda, EC2, S3, etc) 
  • Bachelor’s degree, preferably in Computer Science, Engineering, or Mathematics  

Preferred: 

  • Experience with Numerix OneView and/or CrossAsset 
  • Experience of using GIT based source control repository and tools such as Bitbucket and SourceTree. 
  • Experience of using Jira for full development cycle (requirement to deployment). 
  • Hands-on experience with Java and related enterprise frameworks 
  • Experience in the financial services industry with knowledge of market risk (VaR, PnL vectors, etc) and/or counterparty credit risk (PFE, PE, etc) domains 

Personal Attributes: 

  • Strong analytical, verbal and written communication skills 
  • Self-starter and entrepreneurial in approach 
  • Ability to escalate / follow-up proactively 
  • Good time management skills 
  • Ability to work independently on assigned deliverables while collaborating effectively with senior engineers, business users, and cross-functional teams.
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.

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