Company Description 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.
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.
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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