You will be joining an hedge fund technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service. 
As a Data Engineer on the Long/Short Equities team, you will be responsible for ingesting, cleaning, and aligning data from various global vendors and prime brokers. Your role will be central to ensuring our signals, backtests, and live trading systems operate on high-quality and accurate data across the full lifecycle of a security. 
Roles & Responsibilities: 
• 
Ingest, standardize, and maintain global equity datasets from multiple third-party vendors (e.g., Bloomberg, Refinitiv, FactSet, S&P Global, Exegy, etc.). 
• 
Structure and align data to support quantitative research, factor modeling, and portfolio construction. 
• 
Develop systems to track and handle complex corporate actions including ticker changes, delistings, mergers, spin-offs, dual listings, ADR/local shares. 
• 
Collaborate closely with PMs, quantitative researchers, and trading infrastructure engineers to define and fulfill data requirements. 
• 
Understand prime brokers’ internal ticker conventions and develop robust mappings across trading venues, custodians, and OMS/EMS systems. 
• 
Ensure data quality through rigorous validation, monitoring pipelines, and anomaly detection. 
• 
Help maintain symbol mapping libraries across time zones, exchanges, and asset classes. 
Qualifications: 
• 
Bachelor's degree or above in Computer Science, Engineering or related field. 
• 
Deep familiarity with global equity markets, including North America, Europe, and Asia-Pacific exchanges. 
• 
Proficient in Python (Pandas, NumPy), SQL, and data pipeline orchestration tools (e.g., Airflow, Luigi). 
• 
Knowledge of major data vendors and experience working with financial reference and pricing data. 
• 
Strong understanding of market microstructure and security identifiers (e.g., ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker). 
• 
Ability to navigate prime brokerage data and internal ticker mapping for order execution and post-trade reconciliation. 
• 
Experience in a data engineering or quantitative data operations role at a hedge fund, proprietary trading firm, or asset manager. 
• 
Prior experience working with tick- or bar-level data, especially for intraday equity strategies. 
• 
Familiarity with buy-side OMS/EMS systems and order flow handling.

Data Engineer

Vishnu Siva

Our client is looking for an Account Manager with solid knowledge of Structured Products. The ideal candidate will possess both a financial products and technical background, enabling them to engage effectively with both business stakeholders and technical teams. 
 
Key Responsibilities: 
<ul>
	<li>Develop long-term strategic relationships with key accounts, maintaining a comprehensive view of client needs and objectives.
	<li>Own business development activities, project management initiatives, and client requests from initiation through successful delivery.
	<li>Act as the primary point of contact for assigned client accounts.
	<li>Ensure high levels of client satisfaction through regular engagement and feedback collection.
	<li>Collaborate across internal teams to identify issues, drive solutions, and improve client outcomes.
	<li>Work independently to deliver results while adapting quickly to new concepts, products, technologies, and business models.
</ul>
 
Requirements:
<ul>
	<li>Understanding of financial product platforms, workflows, and lifecycle processes.
	<li>Ability to understand, prioritize, and manage client requirements effectively.
	<li>Consultative approach to client engagement with strong problem-solving skills.
	<li>Experience creating and managing project plans, including tasks, milestones, dependencies, and timelines.
	<li>Excellent communication and stakeholder management skills.
	<li>Ability to create, track, and manage budgets, forecasts, and actuals.
	<li>Strong interest in technology with the ability to learn new systems quickly.
	<li>Minimum 5 years of experience in consulting, financial services, technology, or a related industry.
	<li>Bachelor's or Master's degree, preferably in Finance, Engineering, Computer Science, or a related discipline.
</ul>

Account Manager, Structured Products (Fintech)

An established Global Software Development Organization is looking for a Sales Operations Analyst to support its regional sales teams across Asia-Pacific.

 

This is an initial 1-YEAR contract with potential conversion to a permanent position or extension depending on performance and business needs.

 

The role combines sales administration, CRM management, pipeline reporting, forecasting support and data analysis.

 

Responsibilities

<ul>
	<li>Provide daily operational support to sales teams across Asia-Pacific.
	<li>Maintain accurate CRM records, including account ownership, partner mapping, territories and customer segmentation.
	<li>Monitor pipeline health, identify stalled opportunities and follow up with the relevant sales teams.
	<li>Support account approvals, deal registrations and other sales-system requests.
	<li>Investigate commission, reconciliation and rebate queries, coordinating with specialist teams until they are resolved.
	<li>Support regional forecasting cycles by validating data and consolidating forecast, risk and opportunity inputs.
	<li>Provide backup support for regional sales operations during leave periods and peak workloads.
	<li>Prepare CRM and pipeline data for business reviews, planning activities and management reporting.
	<li>Conduct data-quality checks and support the development of sales dashboards and performance metrics.
	<li>Maintain process documents, operational calendars, templates and regional knowledge resources.
	<li>Identify opportunities to simplify processes and reduce manual work.
</ul>

 

Requirements

<ul>
	<li>At least 5 years of experience in sales operations, sales support, business analysis, data analysis or a related field.
	<li>Strong Excel skills and the ability to analyze and validate large sets of sales data.
	<li>Hands-on experience supporting CRM data, sales pipelines, forecasting or territory management.
	<li>Strong attention to detail, particularly when working with forecasts, commissions and customer records.
	<li>Able to manage several requests from regional stakeholders while meeting fixed reporting deadlines.
	<li>Comfortable working independently and handling confidential commercial information.
	<li>Strong written and spoken English.
	<li>Able to work effectively with stakeholders across different Asia-Pacific markets and time zones.
	<li>Familiarity with Salesforce, Microsoft Dynamics or similar CRM platforms is preferred.
	<li>Experience with Power BI, Tableau or another reporting tool would be advantageous.
	<li>A bachelor’s degree would be preferred.
</ul>

Sales Operations Analyst

<h2>Creator Strategy Marketing Manager (Bahasa Indonesia)</h2>
Nicoll Curtin  Singapore, Singapore (Hybrid) 
SaveApply
An established global technology company is looking for a Marketing Manager to join their Creator Marketing team, leading creator strategy and campaign execution.

 

This role sits close to the Indonesia market, so fluency in Bahasa Indonesia and a strong grasp of Indonesia's creator ecosystem and cultural nuances is essential.

 

❗This is a 12-month contract with potential renewal/extension depending on performance and business needs. This is a hybrid role, 3-day onsite in the Singapore office.

 

Responsibilities

<ul>
	<li>Shape how creators are used to support the business — from brand awareness to product adoption.
	<li>Turn big-picture marketing goals into clear, creator-driven plans.
	<li>Own campaigns from concept to launch, working hands-on with agencies and creators.
	<li>Keep campaigns on schedule, on budget, and true to the brief.
	<li>Work with data teams to identify what's driving results and where to improve.
	<li>Serve as the main point of contact on creator marketing, keeping teams across the business aligned.
	<li>Stay informed on creator trends, platform shifts, and cultural moments.
	<li>Bring in AI tools to speed up planning, reporting, and everyday execution.
</ul>

 

Requirements

<ul>
	<li>7–8 years working in marketing, creator or influencer marketing, or content strategy.
	<li>Fluent in Bahasa Indonesia, with a real feel for Indonesia's creator scene and culture.
	<li>Proven ability to translate strategy into action, with comfort in hands-on execution.
	<li>Comfortable managing agencies, partners, and stakeholders across a large organisation.
	<li>Confident working independently, even when things move fast and plans shift.
	<li>Good grasp of how to measure what's working (think testing, attribution, and results).
	<li>Experience using AI tools to improve efficiency and output quality.
</ul>

Creator Strategy Marketing Manager (Bahasa Indonesia)

Product Engineering Team Lead

Paddington, London 
3 days onsite 
£90,000 base + benefits 
 
Overview

Our client is looking for a Product Engineering Team Lead to join a client-facing engineering organisation delivering large-scale digital solutions for enterprise customers. 
 
This role combines technical leadership, stakeholder management and people leadership while remaining hands-on with architecture and solution design.

Responsibilities

<ul>
	<li>
	Lead engineering teams of approximately 10-40 people
	
	<li>
	Provide technical direction across delivery teams
	
	<li>
	Contribute to architecture, design and technology decisions
	
	<li>
	Work directly with clients and stakeholders on requirements, delivery planning and technical solutions
	
	<li>
	Manage technical risks, dependencies and delivery challenges
	
	<li>
	Support engineers through mentoring, coaching and technical guidance
	
	<li>
	Ensure solutions are delivered to high engineering standards
	
</ul>

Technical Background

The client is looking for someone who is an expert in:

<ul>
	<li>
	Java
	
	<li>
	Spring Boot
	
	<li>
	React
	
</ul>

Along with strong experience in:

<ul>
	<li>
	Microservices
	
	<li>
	Cloud technologies
	
	<li>
	APIs and integrations
	
	<li>
	Modern software delivery practices
	
</ul>

Candidates with broader technology exposure beyond their primary stack and are comfortable discussing architecture, cloud, DevOps, infrastructure, security and engineering governance when needed would have an advantage.

Stakeholder & Client Leadership

A significant part of the role involves working directly with clients. 
 
The successful candidate will be expected to:

<ul>
	<li>
	Manage stakeholder expectations
	
	<li>
	Explain technical trade-offs and delivery constraints
	
	<li>
	Challenge unrealistic timelines or requirements when necessary
	
	<li>
	Defend technical recommendations and proposed solutions
	
	<li>
	Act as the technical authority in client discussions
	
</ul>

Product Engineering Team Lead

An established global technology company is looking for a Supply Chain Analyst to support its APAC logistics and IT asset operations.

 

THIS IS A 1 - YEAR CONTRACT BASED IN SINGAPORE with potential conversion to full-time or extension depending on performance and business needs. The role will be working onsite five days per week in the CBD due to the nature of the role

 

Responsibilities

<ul>
	<li>Track APAC fulfilment requests from order placement through delivery.
	<li>Monitor open orders, backorders and service-level breaches, escalating risks when required.
	<li>Coordinate returns, collections and reverse-logistics activities with regional teams and service providers.
	<li>Monitor inventory levels, stock availability and replenishment requirements.
	<li>Coordinate cycle counts, investigate inventory variances and follow up on corrective actions.
	<li>Maintain accurate asset records, inventory locations and site stock structures.
	<li>Support new offices, logistics hubs, stocking locations and data-centre deployments.
	<li>Monitor the performance of courier and third-party logistics providers.
	<li>Review vendor and carrier invoices, investigate discrepancies and ensure timely processing.
	<li>Maintain shipping, customs and importation documents for cross-border movements.
	<li>Build operational dashboards, reports and vendor scorecards.
	<li>Identify process improvements, update SOPs and support regional system changes.
	<li>Use advanced Excel and AI tools to reduce manual work and improve data analysis.
</ul>

 

Requirements

<ul>
	<li>Bachelor’s degree in Supply Chain or equivalent practical experience.
	<li>At least three years of experience in logistics or a warehouse environment.
	<li>Hands-on experience in asset management and inventory control.
	<li>Experience improving supply-chain processes to meet customer service levels.
	<li>Experience with cross-border shipping, customs and importation documentation across APAC.
	<li>Strong data-analysis and dashboard-reporting capabilities.
	<li>Experience using AI to improve processes or analyze operational data.
	<li>Experience managing or working closely with courier and third-party logistics providers.
	<li>Strong problem-solving skills and a track record of taking initiative.
	<li>Experience distributing or managing IT equipment would be highly advantageous.
	<li>Experience mentoring or leading junior team members would be beneficial.
</ul>

Supply Chain Analyst (IT Hardware)

You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with product managers, data scientists, and business stakeholders to own, shape and deliver impactful AI products. These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale. 
 
Job Description 
•Build AI products end to end alongside an AI Product Manager, from discovery and prototyping to shipping, measuring, and iterating. 
•Own the full backend of an AI product, including model orchestration, retrieval layers, APIs, data flow, storage systems, and middleware. 
•Set technical direction for the systems you own, make architecture decisions, and uphold high standards for code quality and review. 
•Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail. 
•Operate the products you build end to end, taking ownership of monitoring, incident response, and quality investigations. 
•Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML. 
 
Job Requirements 
•At least 3 years of full-time engineering experience, with a track record of 0-to-1 and end-to-end product ownership. 
•Strong backend foundation in system design, distributed systems, databases, caching, and message queues. 
•Comfortable working across the stack, including APIs, infrastructure, frontend, and product metrics. 
•Fluent in LLM product patterns such as chat, copilots, RAG, agentic AI-harness, with sound judgment and proven experience making technical decisions on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review. 
•Proficient in reading and modifying code across common backend languages. 
•Strong cross-functional collaboration skills to work effectively with product, data science, business, operations, and end-user teams. 
•Open-minded, agile, and proactive mindset with a strong willingness to learn. 
•Strong sense of responsibility and accountability in delivering quality work on time.

AI Product Engineer

My client is a growing technology company is looking for a hands-on Engineering Manager to lead and develop its Platform & DevOps capability.

 

Responsibilities

<ul>
	<li>Lead and grow a small Platform & DevOps team
	<li>Remain hands-on with cloud infrastructure and platform architecture
	<li>Improve CI/CD, automation, observability and developer tooling
	<li>Own and evolve AWS infrastructure and Infrastructure as Code
	<li>Drive reliability, scalability, security and performance across the platform
	<li>Support incident management and continuous improvement
	<li>Work closely with Software Engineering teams, particularly across .NET and Angular
	<li>Mentor engineers and contribute to hiring and team development
</ul>

 

Skills

<ul>
	<li>Strong background in Software Engineering, Platform Engineering, DevOps or Infrastructure
	<li>Software development experience with .NET and Angular
	<li>Previous experience leading or mentoring engineers
	<li>Strong AWS experience (preferred)
	<li>Hands-on experience with Terraform and CI/CD tooling
	<li>Experience with containers and Kubernetes
	<li>Strong understanding of scalable and reliable distributed systems
	<li>A security-conscious approach to engineering and cloud infrastructure
</ul>

 

For more information, feel free to reach out to imran.jiwo@nicollcurtin.com

Lead DevOps Engineer

Fullstack Engineer (.NET + React)
<ul>
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Location: Onsite, Singapore
	<li style="margin: 0.0in 0.0in 8.0pt 0.5in;">Duration: 12 months renewable contract 
</ul>
We are seeking a skilled Full Stack Engineer to design, develop, enhance, and support enterprise applications. The role requires strong hands-on capability in .NET, React, and SQL Server, with experience delivering reliable solutions in an Agile environment. 
Key Responsibilities

<ul>
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Develop, maintain, and enhance applications using C#, ASP.NET Core, ASP.NET MVC, React, and SQL Server.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Support end-to-end application delivery, including new development, production fixes, maintenance, and system enhancements.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Collaborate with Agile teams to review requirements, resolve blockers, and deliver quality solutions on schedule.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Build clean, reusable, and maintainable code to improve system performance, stability, and long-term supportability.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Work with project managers and technical teams to review documentation, solution diagrams, estimates, and delivery progress.
	<li style="margin: 0.0in 0.0in 8.0pt 0.5in;">Manage BAU / Run-the-Business queues and ensure assigned incidents, requests, and tasks are completed in a timely manner.
</ul>
Key Requirements

<ul>
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Minimum 5 years of experience in .NET application development.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Strong technical experience in C#, ASP.NET Core / ASP.NET MVC, React, SQL Server, Git, and web application development.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Good knowledge of JavaScript / TypeScript, jQuery, AJAX, Web API, Entity Framework, and Redux or Context API.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Experience across the full software development lifecycle within Agile delivery teams.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Ability to support project estimation, planning, troubleshooting, and technical documentation.
	<li style="margin: 0.0in 0.0in 0.0in 0.5in;">Prior Public Sector or Government project exposure is preferred.
	<li style="margin: 0.0in 0.0in 8.0pt 0.5in;">Available to start within short notice.
</ul>

Data Engineer

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