Total 8 software architect job vacancies in Finance / Banking / Insurance category

Job Summary

We are seeking a Financial Analyst cum Investment Software Developer. The ideal candidate combines creativity and has a passion for conceiving and implementing frameworks that drive smarter investment decisions. You will maintain existing systems and further develop it using your skills.

Responsibilities

• Maintain and develop existing investment software systems to meet evolving business requirements.
• Enhance data protection and security systems to safeguard proprietary investment software and sensitive information.
• Expand software capabilities for further developing the existing system.
• Collaborate with Investment Analysts to rapidly acquire domain knowledge and align software development with business needs

Preferred competencies and qualifications

• Demonstrate ability to independently conceive and build quantitative / analytical system.
• Strong skill in building quantitative data visualizations (charts, heatmaps, signal dashboards)
• Genuine passion for investing in financial markets
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Finance, or a related field

Only Selected candidates will be notified

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Business Area Description:

The Synthetic Product Group (SPG) business offers institutional clients and hedge funds products which are optimal with respect to tax, balance sheet and funding. Business revenues come from commissions, financing, and dividends through the trading of CFD and Equity Swap OTC instruments alongside futures, ETFs, and structured products. It is part of a front to back alignment where engineers are embedded with the revenue generating part of the business. This provides opportunities to partner closely across the SPG organization to deliver the firm even more effectively and efficiently to our clients

Your Impact:

SPG engineering team is a dynamic and innovative front office team that partners directly with trading, sales, quants, operations, prime services, and other engineering teams across the globe. We focus on building and enhancing the applications and workflows that support the SPG business and our clients.

As a key full-stack developer of the team, you will be at the forefront of various revenue-driven technology builds and working in a fast-paced changing environment. You may be working on a new business initiative to design the trade flow for the firm's synthetic product offerings. You may be building a cutting- edge technology stack that parallelizes the processing of contract lifecycle events with utilities to capture and visualize system performance. If you are interested in learning how the SPG business model works and how to apply your expertise to build the leading industry product to make great impact to the business, this position will be a great fit.

With this role, you will be getting lots of exposure on understanding the business model/principles, as well as how to serve clients and the firm by using your business and technical expertise. You will have the opportunity to liaise with experts in business, engineering, and operations across the globe in an environment that encourages open discussion and is focused on the delivery of robust, reliable software. You will be participating in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring system performance. You’ll have access to the latest AI models and backing from the firm to leverage your AI expertise to drive efficiency and innovation. You will learn what the One Goldman Sachs concept is and how we work as a team. 

If you are looking for new challenges and opportunities, this is the role that you should apply and consider. 

Responsibilities:

• Design, build and maintain high-performance, high-availability, high-capacity, yet nimble and adaptive platforms for risk hedging, trade execution, trade booking and workflow management as well as post-trade processing
• Design and build solutions to enhance and scale up the infrastructure to support business growth and new products, in a holistic front-to-back approach
• Find opportunities to apply AI as a force multiplier to both technical and business deliverables. Contribute to the SPG AI toolkit and evangelize AI within the organization
• Collect data and metrics from existing systems to guide decision making and business intelligence, developing or enhancing tools as necessary to collect them
• Communicate with traders, sales, strategists, operations, and compliance officers to gather new requirements, design workflow, deliver features and provide user support

Basic Qualifications:

• Bachelor or master’s degree in Computer Science, Engineering, Quantitative Research or equivalent experience
• 6+ years of professional experience in full-stack software development
• Hands-on experience with Java
• Hands-on experience with agentic AI, skills development, prompt optimization
• A solid understanding of object-oriented programming concepts
• A solid understanding of data structures and algorithms as well as systems design
• Strong communication skills and the ability to work in a team as well as independently

Preferred Qualifications:

• Working experience in the financial industry and front-office facing environment
• Demonstrated people‑management experience is a great plus, including mentoring team members, building high performing team and fostering a collaborative culture
• Financial knowledge and good understanding of Equities Synthetic or Derivative products
• Experience applying AI or automation to real‑world engineering workflows, including familiarity with LLM‑based and AI‑assisted development tools in an enterprise environment
• Experience with dependency injection frameworks such as Spring/Guice
• Prior experience in Web or UI development such as Angular/React
• Prior experience with Linux shell scripting and systems programming
• Experience building real-time low latency systems (order management systems, complex event processing or transaction sequencing architectures)
• JVM internals, tuning for low-latency, GC-free real-time operation
• Prior experience with event-driven systems
• Prior experience with event sourcing (sequenced core stream) based architecture

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Business Area Description:

The Synthetic Product Group (SPG) business offers institutional clients and hedge funds products which are optimal with respect to tax, balance sheet and funding. Business revenues come from commissions, financing, and dividends through the trading of CFD and Equity Swap OTC instruments alongside futures, ETFs, and structured products. It is part of a front to back alignment where engineers are embedded with the revenue generating part of the business. This provides opportunities to partner closely across the SPG organization to deliver the firm even more effectively and efficiently to our clients.

Your Impact:

SPG engineering team is a dynamic and innovative front office team that partners directly with trading, sales, quants, operations, prime services, and other engineering teams across the globe. We focus on building and enhancing the applications and workflows that support the SPG business and our clients.

As a key full-stack developer of the team, you will be at the forefront of various revenue-driven technology builds and working in a fast-paced changing environment. You may be working on a new business initiative to design the trade flow for the firm's synthetic product offerings. You may be building a cutting- edge technology stack that parallelizes the processing of contract lifecycle events with utilities to capture and visualize system performance. If you are interested in learning how the SPG business model works and how to apply your expertise to build the leading industry product to make great impact to the business, this position will be a great fit.

With this role, you will be getting lots of exposure on understanding the business model/principles, as well as how to serve clients and the firm by using your business and technical expertise. You will have the opportunity to liaise with experts in business, engineering, and operations across the globe in an environment that encourages open discussion and is focused on the delivery of robust, reliable software. You will be participating in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring system performance. You’ll have access to the latest AI models and backing from the firm to leverage your AI expertise to drive efficiency and innovation. You will learn what the One Goldman Sachs concept is and how we work as a team. 

If you are looking for new challenges and opportunities, this is the role that you should apply and consider. 

Responsibilities:

• Design, build and maintain high-performance, high-availability, high-capacity, yet nimble and adaptive platforms for risk hedging, trade execution, trade booking and workflow management as well as post-trade processing
• Design and build solutions to enhance and scale up the infrastructure to support business growth and new products, in a holistic front-to-back approach
• Find opportunities to apply AI as a force multiplier to both technical and business deliverables. Contribute to the SPG AI toolkit and evangelize AI within the organization
• Collect data and metrics from existing systems to guide decision making and business intelligence, developing or enhancing tools as necessary to collect them
• Communicate with traders, sales, strategists, operations, and compliance officers to gather new requirements, design workflow, deliver features and provide user support

Basic Qualifications:

• Bachelor or master’s degree in Computer Science, Engineering, Quantitative Research or equivalent experience
• 3+ years of professional experience in full-stack software development
• Hands-on experience with Java
• Hands-on experience with agentic AI, skills development, prompt optimization
• A solid understanding of object-oriented programming concepts
• A solid understanding of data structures and algorithms as well as systems design
• Strong communication skills and the ability to work in a team as well as independently

Preferred Qualifications:

• Working experience in the financial industry and front-office facing environment
• Financial knowledge and good understanding of Equities Synthetic or Derivative products
• Experience applying AI or automation to real‑world engineering workflows, including familiarity with LLM‑based and AI‑assisted development tools in an enterprise environment
• Experience with dependency injection frameworks such as Spring/Guice
• Prior experience in Web or UI development such as Angular/React
• Prior experience with Linux shell scripting and systems programming
• Experience building real-time low latency systems (order management systems, complex event processing or transaction sequencing architectures)
• JVM internals, tuning for low-latency, GC-free real-time operation
• Prior experience with event-driven systems
• Prior experience with event sourcing (sequenced core stream) based architecture

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The FinOps Analytics Architect is a senior technical leader responsible for driving cloud cost optimization, building cost‑observability platforms, and enabling proactive cloud financial governance. In addition to core FinOps responsibilities, this role now incorporates Agentic AI architecture, governance, and cost‑control capabilities as organizations shift from traditional dashboards to autonomous optimization systems.
Agentic AI introduces autonomous AI agents capable of analyzing data, making decisions, and executing actions at scale—requiring new guardrails, real‑time cost management, and AI-centric FinOps frameworks.

Key Responsibilities

1. Cloud Architecture Optimization & Technical Advisory

• Conduct deep architectural reviews of high‑spend cloud services to identify inefficiencies.

• Recommend code‑level and infrastructure changes—including serverless patterns, right‑sizing, and storage tiering—to reduce spend.

• Ensure engineering teams adopt cost‑efficient design standards to prevent cloud and on-prem “tech debt.”

2. FinOps Data, Analytics & Cost Transparency

• Build cloud cost observability and on-prem analytics frameworks that provide real‑time usage and spend insights.

• Develop forecasting models, dashboards, anomaly‑detection systems, and financial models to support cloud budgeting.

• Integrate data from cloud providers, usage logs, telemetry, and AI agent activity streams.

3. Governance, Policy Automation & Cloud Financial Controls

• Develop automated governance scripts and IaC controls (Python, Bash, elasticsearch, etc) for proactive enforcement.

• Implement tagging standards, cost attribution, chargeback/showback frameworks, and compliance policies.

• Manage FinOps governance foundations promoting visibility, accountability, and cross‑team alignment.

4. Agentic AI Responsibilities

Agentic AI introduces autonomous, reasoning‑capable AI agents that perform tasks, invoke APIs, spin up compute, and make resource decisions independently—requiring a new layer of FinOps oversight.

Design & Integrate Agentic AI Workflows into FinOps

• Architect and integrate Agentic AI systems that autonomously analyze cloud usage, detect inefficiencies, and propose or execute optimizations.

• Incorporate multi‑agent systems capable of proactive anomaly detection, predictive optimization, and autonomous corrective actions within the cloud and on-prem ecosystem.

Real‑Time AI Agent Cost Visibility & Ownership

• Establish per‑agent cost attribution, including owner tags, budget identifiers, and full traceability of every model invocation or API call.

• Build telemetry pipelines (e.g., OpenTelemetry with cost metadata) capturing cost_per_call, decision logs, and tool usage for all agents.

Budgeting, Guardrails & Autonomous Spending Control

• Design dynamic and iterative budgeting models, replacing static annual budgets with daily/weekly limit enforcement for agentic workflows.

• Implement policy-driven controls (e.g., budget throttles, automated revocation, execution guardrails) to manage microtransaction-level spend driven by autonomous agents.

• Govern agent estates using enterprise-grade tooling (e.g., Microsoft’s Foundry Control Plane) to enforce identity, security, and auditability for AI agent actions.

AI Optimization Agents & Execution Automation

• Leverage or build Citi AI optimization agents (e.g., Azure Copilot Optimization Agent) that automatically analyze performance, compare SKU alternatives, and generate execution-ready automation scripts.

• Oversee the safe implementation of agent-suggested optimizations by validating performance impact and compliance before execution.

FinOps for LLM, Multi-Agent & RAG Architectures

• Manage the cost implications of LLM inference, multi-agent collaboration, and retrieval-augmented generation (RAG) workflows, where token usage and replication can multiply costs significantly.

• Optimize model selection, context length, inference endpoints, and caching strategies to reduce unnecessary LLM consumption.

5. Cross-Functional Collaboration & Stakeholder Leadership

• Partner with FinOps Champions, engineering teams, and business stakeholders to translate cloud and AI cost goals into actionable backlogs.

• Promote organizational alignment via shared ownership of cloud and and on-prem AI spending across finance, engineering, and operations.

• Communicate complex On-prem, cloud, and AI cost insights clearly to executives and product teams.

6. Continuous Cloud & AI Optimization Strategy

• Drive ongoing cloud and agent-driven optimization initiatives to reduce waste, prevent cost overruns, and maximize ROI.

• Develop long-term cloud, AI, and automation strategy including SKU optimization, licensing, GPU provisioning, and model lifecycle cost management.

Required Qualifications

• Expertise in cloud architecture (AWS, Azure, GCP) with hands‑on cost optimization experience.

• Strong mastery of FinOps principles, cost models, and cloud financial governance.

• Experience with Python, SQL, Terraform/IaC, cloud billing datasets, and telemetry instrumentation.

• Understanding of LLMs, multi-agent architectures, RAG workflows, and AI operational cost models.

• Ability to design secure, monitored, and budget‑controlled environments for autonomous agents.

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As a Finance Data Domain Architect Associate within our International Consumer Bank team, you will work closely with platform users and analysts to understand data requirements and functional needs. You will have the opportunity to partner with data engineers to design and implement industry-leading data architecture, test new data models, maintain high-quality documentation, and lead in the development of data pipelines. This role provides a unique opportunity to make a real impact in a collaborative, cross-functional, agile team environment.

Our International Consumer Bank team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

Job Responsibilities:

• Work closely with platform users and analysts to understand data requirements and functional needs

• Partner with data engineers to design and implement industry leading data architecture to support a highly scalable, reliable and performant platform

• Testing new data models and enhancements to ensure they meet end user requirements and expected results

• Maintain high quality technical and end user documentation to support the data models underpinning our platform solutions

• Implement, own and execute controls including data validation rules and reconciliations as part of our runbook

• Lead in the development of data pipelines, ad-hoc data analysis and BI solutions to support external financial reporting

Required qualifications, capabilities, and skills

• Bachelor’s degree in accounting or finance related domains

• Minimum 2 years’ experience in data analytics, change management or a data driven finance function

• Detail and control oriented with a good understanding of finance and accounting concepts, ideally a finance domain background

• Experience as a data architect, business analyst or as an end user driving data platform innovation

• Ability to work in collaborative, cross-functional, agile teams as well as independently

• Strong communication skills, both written and verbal

• Proven SQL coding, ETL pipeline or data warehousing experience

• Ability to translate problem statements into practical solutions and technical requirements

• Self-starter and highly self-motivated

• A passion for applying best practices and driving innovation

Preferred qualifications, capabilities, and skills

• Retail banking domain experience is advantageous

• Ability to deliver large scale or ‘big data’ platform solutions

• Working as part of multi-location team

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=64be4b1dcac379548df3a3c41719c89b

Job Description: Private Banking Architect (Technology)

About Bounteous

Bounteous is a leading global digital engineering and technology solutions provider, trusted by top-tier organizations across Banking, Financial Services & Insurance (BFSI). With a combined strength of more than 5,000 engineers worldwide, we specialize in delivering high-impact solutions across Capital Markets, Core Banking, Payments, Digital Transformation, Data & AI, Cloud Engineering, and modern enterprise platforms.

In Singapore, we partner closely with major regional and global financial institutions—including banks, asset managers, and market infrastructure providers—to drive advanced engineering, modernisation, and AI-led transformation. Our teams bring deep expertise across Trading Systems, Core Java Engineering, Cloud-Native Architectures, DevSecOps, and Data Engineering, supported by a strong delivery presence across APAC, India, Europe, and North America.

Role Title: Private Banking Architect (Technology)
Experience: 14–18 years
Location: Singapore

Role Overview

We are seeking a seasoned Technology Architect with deep experience in Private Banking to lead the modernization and digital transformation of our core banking technology landscape. This role will play a pivotal part in guiding the strategy and architecture roadmap as the firm phases out legacy platforms (including AS400) and undertakes major transformations such as the revamp of Trade Finance applications, integration modernization, and adoption of next-generation digital capabilities.

The ideal candidate brings strong architectural leadership, hands-on modernization experience, and the ability to influence senior stakeholders across business and technology.

Key Responsibilities

Architecture & Strategy

• Define and own the technology architecture roadmap for Private Banking, aligned with business priorities and modernization goals.
• Lead the transition from legacy AS400-based systems to modern platforms, ensuring scalable, secure, and future-ready technology choices.
• Architect end-to-end solutions for the revamp of Trade Finance applications, including workflow digitization, automation, and integration modernization.
• Identify and recommend modern solutions such as microservices, API-led integration, cloud-native applications, event-driven architectures, and low-code opportunities.
• Evaluate and adopt modern technologies and frameworks to support digital transformation.

Solution Design & Delivery

• Partner with business, engineering, and operations teams to design robust, secure, and compliant solutions.
• Provide architectural oversight across the entire SDLC for key initiatives.
• Ensure solution designs adhere to architectural standards, performance requirements, and regulatory considerations.
• Review existing systems and propose modernization or rationalization strategies.

Stakeholder Management

• Engage and collaborate with senior business leaders, product owners, delivery managers, and vendor partners.
• Present architecture recommendations and technology strategies in a clear, compelling manner.
• Influence decision-making and ensure alignment across global and regional stakeholders.

Governance & Best Practices

• Establish and enforce architecture guidelines, patterns, and development best practices.
• Conduct design reviews and support teams in resolving architecture-related challenges.
• Ensure solutions are compliant with enterprise security, audit, and regulatory requirements.

Required Skills & Experience

Technical Expertise

• 14–15+ years of overall IT experience with at least 7+ years in architecture roles.
• Strong background in Private Banking / Wealth Management domain.
• Experience modernizing legacy systems, preferably AS400 or similar core banking platforms.
• Proven architecture experience in:

• Application modernization

  API and microservices architecture

  Cloud migration (AWS/Azure/GCP preferred)

  Integration platforms (ESB, MQ, API Gateways)

  Event-driven systems

  Enterprise workflow solutions

• Hands-on exposure to Trade Finance systems is a strong plus.

Leadership & Soft Skills

• Strong analytical and problem‑solving skills with the ability to simplify complex problems.
• Excellent communication skills to influence and collaborate across business and technology teams.
• Demonstrated experience working with external vendors, platforms, and consulting partners.
• Ability to work in a fast-paced, evolving environment with multiple competing priorities.

Preferred Qualifications

• Experience in financial services digital transformation programs.
• Knowledge of regulatory and compliance requirements relevant to Private Banking.
• Certification(s) in TOGAF, cloud architecture, or similar frameworks.
• Prior involvement in end-to-end system decommissioning or platform migration initiatives.

What's on Offer

You will join a high-calibre engineering environment where technical excellence, secure design, and continuous learning are core to how we build. Expect the opportunity to work on complex, large-scale systems that directly enhance the resilience and cybersecurity posture of a major financial institution. Beyond competitive compensation, you will benefit from access to global engineering leaders, modern tooling, structured growth pathways, and the ability to shape solutions that have real impact. This role offers the autonomy to innovate, the support to grow, and the platform to build a long-term career in advanced software engineering and cybersecurity.

Duties and Responsibilities

As part of the Premier Service Unit servicing the bank’s key VIP trade clients, to effectively perform day-to-day business operational activities which includes meeting both internal and external stakeholders’ expectations in terms of quality and turnaround time:

1. Processing of Trade Finance applications including issuance and advising of Letter of Credit, Bank-to-Bank Reimbursements, Export Negotiations, etc.

2. Adherence to the processes, procedures and guidelines established under the Standard Operating Procedure (SOP) and Process Risk Maps (PRM)

3. Maintain risk & controls measures as per the established standards and minimize operational losses

4. Identify and implement improvements to processes and/or procedures to increase productivity and control risks

5. Support the team with ad-hoc projects such as system enhancements and bug fixes

Requirements

a) Degree holder with a major in banking/finance and/or prior banking experience with system knowledge of IMEX/ELCY/GTC/ICE Trade/Contour

b) Inspiring individual, great work ethics and conceptual team player with problem solving abilities

c) An articulate and outgoing personality

d) Applicants with prior project management, process improvement and trade finance experience are highly advantageous

e) Capable of effectively working under pressure and meeting tight deadlines

f) Innovative and willing to accept challenges in a dynamic environment

g) Excellent written and spoken skills

h) Strong relationship building and management skills

i) Strong customer and business focus with a keen awareness of risk and fraud control

j) Excellent Microsoft office suite skills

This job advertisement is posted by:

Tan Geok Khim (Deng Yuqin) (R22107857)

A-IT Software Services Pte Ltd

EA License No: 24C2345

Candidate must be able to understand/ read Chinese as he/she needs to generate Chinese quotations.

Job Description

Responsibilities:

1. Preparation of policy illustrations and client presentation materials for insurance specialists

2. Provide support to Insurance Specialists for new business and policy servicing transactions. This includes, but is not limited to, coordinating medical appointments with clinics, submitting required documentation to insurers, processing payment advice, and engaging with internal and external stakeholders to advance various transactions

3. Preparation of policy review packages for incepted policies

4. Execute administrative tasks, including document printing, binding, and the arrangement of local and international courier services

5. Offer cross-support for Wealth Planning trust administration as needed.

Requirements:

1. Minimum of 3 years’ relevant experience within Bancassurance or Insurance Brokerage environments

2. Strong interpersonal skills with the ability to communicate effectively with diverse stakeholders

3. Demonstrated ownership of outcomes and a strong drive to achieve personal and professional objectives

4. Well‑developed organizational abilities, with effective project coordination and management skills

This job advertisement is posted by:

Tan Geok Khim (Deng Yuqin) (R22107857)

A-IT Software Services Pte Ltd

EA License No: 24C2345