Quantitative Support Analyst at Numeric

Hong Kong, Hong Kong

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Technology, FinanceIndustries

Requirements

Bachelor’s or Master’s degree in a quantitative discipline (e.g., Mathematics, Financial Engineering, Physics, Computer Science)
Strong analytical and problem-solving skills
Solid understanding of financial instruments and derivatives (e.g., swaps, options, structured products)
Familiarity with quantitative modeling concepts such as calibration, volatility surfaces, and Monte Carlo simulation
Excellent communication skills, both written and verbal
Ability to work independently and manage multiple priorities in a fast-paced environment
Proficiency in Excel; experience with Python, C++, or scripting languages is a plus

Responsibilities

Troubleshoot and resolve client-reported BAU issues (e.g., pricing errors, model failures, configuration inconsistencies) related to Numerix analytics and system behavior
Respond to general product usage questions and provide conceptual explanations of Numerix’s quantitative framework (e.g., curve construction, calibration logic, model parameters)
Collaborate with internal teams — including Quant Development, Product Management, and the Risk team — to triage and isolate issues before escalation, ensuring efficient and accurate resolution paths
Document case resolutions and contribute to internal knowledge sharing
Maintain a strong understanding of Numerix’s pricing models and analytics, particularly in areas such as interest rate derivatives, FX, equity, and hybrid products, to support accurate diagnostics and communication

Skills

Quantitative Analytics

Pricing Models

Risk Management

Interest Rate Derivatives

FX Derivatives

Equity Derivatives

Hybrid Products

Curve Construction

Model Calibration

Troubleshooting

Problem-Solving

Financial Engineering

Numeric

Financial close management solutions for enterprises

About Numeric

Numeric.io provides financial close management solutions designed to streamline the month-end close process for large enterprises. The platform integrates features for closing, reconciling, and analyzing financial data, enhancing collaboration and control over financial processes. It automates complex tasks to ensure financial controls are maintained, helping companies remain audit-ready. Numeric.io operates on a Software-as-a-Service (SaaS) model, where clients subscribe for access to its features, allowing for continuous updates and support. This approach enables Numeric.io to cater to both mid-sized and large corporations with tailored solutions for their financial close needs. The company's goal is to transform how businesses manage their financial close processes, making them faster, more accurate, and efficient.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$40.4MTotal Funding

SERIES_ACompany Stage

Enterprise Software, FintechIndustries

1-10Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from established firms like BlackLine and FloQast may impact Numeric's market share.

Rapid AI advancements require continuous innovation, potentially straining Numeric's resources.

Data privacy concerns and regulatory scrutiny could pose compliance challenges for Numeric.

Differentiation

Numeric offers a unified platform for financial close management, enhancing efficiency and accuracy.

The company targets large enterprises and IPO-preparing firms, providing tailored financial solutions.

Numeric's SaaS model ensures continuous updates and support, maintaining client satisfaction and loyalty.

Upsides

Numeric raised $28M in Series A funding, boosting its growth and development potential.

Strategic partnership with Riveron enhances Numeric's AI-driven financial management solutions for CFOs.

Growing demand for AI-driven financial solutions supports Numeric's market expansion and innovation.

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