
Risk Developer
Full time @Exinity in Business Management Shortlist Email JobJob Detail
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Job ID 7542
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Academic Level BachelorMasters
Job Description
Exinity is hiring a Risk Developer.
Responsible for the development and maintenance of the Market Risk Analytics infrastructure and all Quant-related initiatives.
- Build a Python Risk Analytics library from scratch in Python covering:
- Risk exposure: breakdown of exposure by asset class, product, client, counterparty etc.
- Trading activity: turnover, execution statistics
- Performance: PnL attribution/contribution, performance ratios, market monitoring statistics
- Value at Risk: build new engine to calculate VaR and other tail risk metrics
- scenario analysis and stress testing: build new engine to run historical or user-defined scenarios
- Liaise with IT to ensure risk analytics are properly documented and integrated within the wider Tech infrastructure constantly improve the Risk data model and build Risk data marts
- Liaise with Senior Management and Dealing to constantly improve the portfolio risk quantification and visualization. Suggest new metrics, breakdowns etc.
- Products covered: mainly FX and to a lesser extent Equities, Commodities an Crypto
Qualifications
- Qualification: MSc/BSc in Computer Science or scientific subject (preferably maths, physics, or quantitative finance).
- Experience: at least 3 years of professional experience as a Quant Developper, ideally in a Bank, Broker or Asset Manager
- Software skills:
Essential:
- Python (at least 3 years) with good understanding of OO programming, pandas, numpy, pyspark, timeseries
- SQL: able to write complex queries, stored procedures
- Data Analysis: sound understanding of data modelling (EER concepts, normalisation, etc)
Nice to have:
- Experience working with cloud solutions and platforms on prod, Azure preferrable
- Data Visualization with any popular BI tool
- Familiar with ORM
- Machine Learning techniques
- API development
- Certifications / technical knowledge
Essential:
- Good undertanding of core statistical concepts (distributions, correlations, regressions, etc)
- Good undertanding of trading workflow and portfolio concepts (order, margin, PnL, exposure etc)
- Exposure to FX
Nice to have:
- Exposure to other asset classes (Equities, Commodities, Crypto)
- Understanding of VaR and scenario analysis
Soft skills
- Intellectual rigour: ability to challenge and validate results
- Pro-active, not afraid to start a project from scratch, take responsibilities, propose and design solutions
- Strong attention to detail
- Language Proficiency:
- Fluent English both written and spoken is essential
Additional Information
Benefits:
- Competitive salary
- Medical insurance
- Discretionary performance related bonus
- Paid sick leave days for self and for taking care of your dependents
- Interest free loans
- Hybrid working policy
- A focus on your wellbeing, including talks and access to self-development tools
- Flexi benefits / Quarterly allowance
- Global Employee Assistance Programme
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