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Associate Director, Foreign Exchange Trading

Scotiabank

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A leading financial institution in Singapore is seeking a talented Quant Trader to join their dynamic FX Electronic Trading team. The role involves developing sophisticated trading systems and strategies using programming skills in Python and Java. Ideal candidates have a strong mathematical background, experience in electronic trading, and familiarity with risk management. The position offers an opportunity to contribute to high-performing platforms in a collaborative and innovative environment.

Qualifications

  • 5+ years of experience in electronic trading in Finance, preferably in FX.
  • Strong understanding of pricing models and risk management.
  • Experience with algorithmic trading strategies.

Responsibilities

  • Collaborate with teams to enhance electronic trading platforms.
  • Design and optimize trading strategies using statistical models.
  • Perform data analysis on trade data for profitability insights.

Skills

Strong proficiency in Python
Strong proficiency in Java
Mathematical Modeling
Data analysis using Pandas
Familiarity with electronic trading protocols

Education

Advanced degree in a quantitative field

Tools

Scikit Learn
TensorFlow
KDB Q
Job description
Overview

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Requisition ID: 236964

Purpose:
We are seeking a talented Quant Trader to join our dynamic team, focused on FX Electronic Trading. As an eFX Trader, you will play a crucial role in developing and maintaining sophisticated trading systems and strategies in FX, utilizing your expertise in programming languages such as Python and Java.

Responsibilities
  • Collaborate with traders, research, and technology teams to design, develop, and enhance electronic trading platforms for FX markets.
  • Design and optimize algorithmic trading strategies utilizing statistical and mathematical models, including Machine Learning and other Probability-driven models.
  • Perform data analysis on trade/market data to derive actionable insights that improve profitability.
  • Develop automatic risk management algorithms to monitor trading positions and market conditions.
  • Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability.
  • Maintain and enhance existing software infrastructure, including code refactoring, documentation, and testing.
  • Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and functional programming techniques.
  • Manage the Spot FX risk within market-making book.
  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk
Requirements
  • Strong proficiency in Python and Java, programming languages at systems production-level.
  • Previous experience working in electronic trading in Finance, preferably in FX, including familiarity with pricing models, risk management, and trading strategies.
  • Strong Mathematical background and strong proficiency in Mathematical Modeling.
  • Familiarity with electronic trading protocols and market connectivity, such as FIX, API integration, and order routing.
  • Proficiency in data analysis, utilizing tools like Pandas, NumPy and KDB Q.
Preferred Qualifications
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Engineering, Mathematics, Physics or related disciplines.
  • Knowledge of Machine Learning & Bayesian techniques and libraries (e.g., Scikit Learn, TensorFlow, PyTorch) for developing predictive models.
  • Experience with alpha-generation for algorithmic trading strategies
  • Experience working with FX ECNs and Client-Platforms (e.g., FXall, 360T, Bloomberg, LSEG Spot Matching) is a plus.
  • Experience market-making and/or trading Spot FX

Location(s): Singapore

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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