Exinity Sharjah Jobs 2022 – Apply Online Risk Developer Vacancy in Sharjah, UAE

In the fast-growing economies of the world, there’s a new generation of ambitious younger people eager to gain financial independence. And they’re turning to the world’s financial markets to achieve it. Exinity’s mission is to empower them to succeed. We design, engineer and market a growing range of innovative trading and investing products that meet their expectations for choice, creativity and control, and which are backed by risk management tools, education – and a great customer experience.For over 20 years, Exinity has provided leveraged trading to some two million customers through our global brands Alpari and FXTM. Now, we are adding further brands to our portfolio – with a further three planned for rollout by the end of 2022.Exinity is an energetic and diverse company with offices across Europe, Asia and Africa, and we’re always looking for talented individuals to join us. ‘Freedom to Succeed’ is not just a promise we make to our clients and partners, but to our people too. We’ll help you develop a range of skills, take on early responsibility, and enjoy a rewarding and fulfilling career with a fast-growing, dynamic company.

Job Description
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