Who We Are:

Grain is a pioneering fintech startup based in the heart of Tel Aviv. We offer  embedded cross-currency solutions tailored for software platforms and marketplaces. Grain was founded by seasoned entrepreneurs, formerly of financial institutions such as  Barclays, Deutsche Bank, as well as other renowned fintech startups. Grain is backed by leading venture capital firms and prominent financial institutions. At Grain, we offer an opportunity to shape the fintech landscape and be a part of a community that's committed to excellence.

Job Summary:

We are seeking a highly skilled and detail-oriented Quantitative Analyst with a focus on Foreign Exchange (FX) markets to join our team. In this role, you will leverage your expertise in quantitative modeling, data analysis, and FX market dynamics to develop innovative trading strategies, optimize risk management practices, and contribute to decision-making processes. The ideal candidate will have a strong foundation in finance, quantitative techniques, and FX products, as well as proficiency in programming and statistical analysis.

Key Responsibilities:

• FX Model Development: Design, develop, and implement quantitative models to analyze and predict FX market behavior, including pricing, volatility, and liquidity. Create models that optimize trading strategies, risk management, and execution for currency pairs.

• FX Data Analysis: Analyze large volumes of FX market data (spot, forwards, options, swaps) to identify patterns, trends, and trading opportunities. Utilize statistical techniques and machine learning methods to extract actionable insights.

• Algorithmic Trading: Build and optimize algorithms for FX trading, including market-making, statistical arbitrage, and directional strategies. Monitor and refine the performance of FX trading strategies.

• Risk Management: Develop and implement risk models for FX exposures, including Value at Risk (VaR), stress testing, and scenario analysis. Work closely with risk management team to assess and mitigate risks associated with currency trading and positions.

• Backtesting: Perform rigorous backtesting of FX trading strategies, pricing models, and risk management techniques to evaluate their historical performance and predict future outcomes in real market conditions.

• Market Insights and Reporting: Provide actionable market insights to traders and based on quantitative analysis of FX markets.

• Data Management & Technology: Leverage advanced programming languages and FX-specific data sources (e.g., Bloomberg, Reuters) to collect, clean, and analyze FX-related data.

• Collaboration: Work closely with traders, risk managers, product and data teams to refine models, backtest new ideas, and improve trading strategies in FX markets.

Qualifications:

• Bachelor’s or Master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Physics, or a related field. A PhD in a relevant discipline is a plus.

• Advanced programming skills for data analysis, modeling, and algorithm development.

• Strong knowledge of FX products, including spot, forwards, options, swaps, and derivatives.

• Proficiency in time series analysis, statistical modeling, and machine learning techniques applied to FX data.

• Familiarity with FX market microstructure and trading platforms (e.g., EBS, Reuters Trading for Exchanges, FXall).

• Experience with FX pricing models, volatility modeling, and FX-specific risk metrics (e.g., FX Greeks, Vega, Delta).

• Expertise in SQL and experience with handling large financial datasets.

• Experience:

• Proven experience as a Quantitative Analyst in FX, derivatives, or trading environments, with a strong understanding of FX markets, instruments, and market dynamics.

• Experience developing, backtesting, and optimizing FX trading strategies and models.

• Familiarity with FX hedging techniques and portfolio management in multi-currency environments.

• Analytical and Problem-Solving Skills:

• Excellent analytical skills, with the ability to derive insights from complex and high-dimensional data.

• Strong quantitative and problem-solving abilities, including the capacity to develop new models or adapt existing ones to better predict FX price movements and trading opportunities.

• Soft Skills:

• Strong communication skills to convey complex quantitative results to non-technical stakeholders.

• Ability to work in a fast-paced, collaborative team environment with a focus on delivering results under tight deadlines.

• Self-motivated, with the ability to take ownership of projects and drive initiatives forward.

Preferred Qualifications:

• Experience with machine learning algorithms applied to FX data for predictive modeling and algorithmic trading.

• Experience with cloud computing platforms (e.g., AWS, Azure) and big data tools for processing large datasets.

• CFA or FRM certifications are a plus.