Business Operations Analyst (Middle/Back Office), Hong Kong

Overview

Susquehanna is looking for a Business Operations Analyst (Middle/Back) to join our Hong Kong office. As a Business Operations Analyst, you will be responsible for helping the day to day running of the middle and back office for Susquehanna. This will entail position reconciliations, ensuring trades are captured in an efficient and timely manner and positions are accurate and reconciled to external brokers, produce accurate daily Profit and Loss, and ensure a strong control framework throughout the complete trade life cycle, whilst support the growth of the organisation.

 

What you’ll do

• Reconciliation of position, cash, and trade activity prior to Market open.
• Ability to reconcile front office Profit and Loss estimates to prime broker reporting.
• Analysing Accruals including Capital & Interest charges, expenses, and commissions
• Price Validation of Trader EOD close prices.
• Liaise with external parties to resolve any position/cash discrepancies.
• Contribute to system improvement to help streamline daily processes.
• Support the business in its growth and expansion into new products and Markets.
• Working with legal and compliance for onboarding new relationships
• Support desk to effectively manage their Margin obligations.
• Maintaining and managing operational processes as per regulatory framework 

What we’re looking for

• 4 + years of experience, working in a similar role within the financial markets.
• Operational knowledge of financial markets
• Have an in-depth knowledge of handling trade flow through to settlement.
• Knowledge of Equity Derivatives especially options and Equities. 
• Adaptability: Thrives in a fast-moving, evolving environment; stays hands-on while also leading initiatives and uplifting standards.
• Knowledge/Experience of Asian Markets a preference
• Ability to build strong and positive relationships both internally and with Broker contacts.
• Strive for efficiencies and to challenge the status quo to drive changes.
• Ability to prioritise based on materiality and risk considerations.
• Analytical mindset when tackling issues.
• Knowledge of SQL, VBA and Python would be highly regarded including using AI tools
• Traits: Analytical, detail-oriented and organised; accountable, proactive, and continuous-improvement minded; a reliable, flexible teammate with good judgement.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

 

What we do 

Susquehanna’s deep integration of trading, technology and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class.

 

Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.

 

If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

  

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