Total 26 job vacancies by Unison Consulting Pte Ltd

• At least 5 years IT experience as Level 1 Production Operations engineer.
• Strong analytical skills: The ability to analyze production processes and identify areas for improvement and optimization.
• Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.
• Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.
• Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc. would be an advantage.
• Able to work shift duties 24X7.

• Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.
• Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.
• Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.
• Being accountable for resolving the incident with workaround or permanent solution.
• Participate in troubleshooting system and network connectivity problems before escalation.
• Monitoring production metrics and performance indicators to ensure targets are met.
• Ensuring compliance with safety and regulatory standards in production.
• Other ad-hoc duties as instructed.

• Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.

• Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.

• Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.

• Being accountable for resolving the incident with workaround or permanent solution.

• Participate in troubleshooting system and network connectivity problems before escalation.

• Monitoring production metrics and performance indicators to ensure targets are met.

• Ensuring compliance with safety and regulatory standards in production.

• Other ad-hoc duties as instructed.

Good years of IT experience as Level 1 Production Operations engineer.

• Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.

• Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.

• Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.

• Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc. • Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.

• Able to work shift duties. -The shift hours are as follow:

▪ 1st shift - 7:00 am to 3:00 pm

▪ 2nd shift - 2:45 pm to 10:30 pm

▪ 3rd shift - 10:15 pm to 07:15 am

o The 8-day rotational shift pattern is as below:

▪ Two days 1st shift, followed by

▪ Two days 2nd shift, followed by

▪ Two days 3rd shift, followed by

▪ Two off days.

As a Governance Risk and Compliance Specialist to join our team, this role is crucial in developing and maintaining a robust culture of technology and cybersecurity risk governance across our organization.

The ideal candidate will have at least 5 years of relevant experience in ICT cybersecurity, data security, audit management, governance, and risk compliance management. He or She will be responsible for providing expert advice on cyber security requirements, reviewing and establishing ICT policies, and supporting various aspects of our tech governance framework.

• Develop the culture of Tech risk governance and management across the organisation, and ensure proper accountability in the management, tracking and reporting of tech and cyber risks.
• Provide subject matter advice to internal stakeholders on cyber security requirements that the Authority is required to comply with, including Client internal policies and standards, as well as policies and standards from GovTech and Cyber Security Agency of Singapore.
• Review and establish ICT policies and process controls and conduct compliance checks.
• Support team lead and work with internal stakeholders to:

• Track and monitor tech projects and initiatives to meet compliance requirements.
• Track and monitor of Key Risk Indicators and Control Self-Assessment as part of Tech governance framework.
• Track and monitor incident reporting, including reviewing, monitoring, and reporting on the corrective measures and improvement areas.
• Participate in consultation and conduct gap analysis against new or revised requirements.
• Assess and seek waiver approvals for deviations and risk treatment strategies.
• Organise risk forums, including monitoring of action plans.
• Coordinate and facilitate IT / cyber security audits.

o   Track remediation plans to address audit findings.

o   Follow up on remediation actions, security and risk assessments with respective stakeholders and project and application managers.

• Good years of relevant experience in ICT cybersecurity, data security, audit management, governance, risk and compliance management
• Relevant certifications in IT governance, IT audit, cyber or data security (e.g. CISSP, CISM, CISA, etc.) preferred.
• Ability to work with cross-functional, multi-disciplined team to operationalise monitor security policies and procedures.
• Knowledge of Instruction Manual 8 and CSA Cybersecurity Code of Practice preferred.
• Technical knowledge of security vulnerabilities, validation of remediations and risk assessments.
• Relevant experience in data visualisation and analytics..

Role : Business Analyst (Corporate Banking)

Location : Singapore

Duration : Long term contract

Job Scope

• Requirements Analysis & Elicitation
• Responsible to identify and define detailed functional specifications based on the business requirements document
• Analyse and document the “to-be” business and operation processes based on the agreed requirements and / or function points, perform impact assessment and estimation
• Monitor and manage risks /issues related to requirements and scope-creep
• Team Collaboration
• Participate in transitioning the requirements to the designers and ensure a clear and complete understanding of the requirements.
• Assist in translating business requirements into test scenarios.Facilitate / provide “Train-the-Trainer” on application enhancements
• Maintain up-to-date knowledge base related to application features and processes (subject matter expertise)
• Testing & Scope Management
• Clarify test findings escalated by Test Manager and classify the findings accordingly (either as a defect or change request)
• Perform impact assessment and estimation for Project Change Request

• Good knowledge in financial services policies, procedures, products and industry practices.
• Strong negotiation skills
• Good team player with excellent interpersonal and communication skills
• Strong working knowledge of relevant applications and development life cycles

Mandatories are:

• Very strong with Functional User Stories writing.
• Good understanding of JIRA
• Working knowledge of Payment flows and Corporate banking

We are looking for a highly skilled Business Analyst with experience in venture capital to join our team. The ideal candidate will have a strong background in business analysis, financial modeling, and market research, with the ability to analyze investment opportunities, evaluate business performance, and support strategic decision-making.

Conduct in-depth market research to identify emerging trends, investment opportunities, and competitive analysis.

Analyze financial statements, business models, and market data to provide insights on potential investments.

Prepare detailed reports, presentations, and investment proposals for senior management and stakeholders.

Work closely with the investment team to evaluate and track the performance of portfolio companies.

Develop financial models to assess business valuation, ROI, and risk analysis.

Assist in due diligence processes by gathering and reviewing relevant information and documents.

Collaborate with cross-functional teams to streamline investment processes and improve data accuracy.

Provide strategic recommendations based on data analysis to support business growth and investment strategies.

Stay up-to-date with industry trends, venture capital landscapes, and emerging technologies.

Bachelor’s degree in Business Administration, Finance, Economics, or related field. MBA or equivalent is a plus.

6+ years of experience as a Business Analyst, preferably in venture capital, private equity, or investment banking.

Strong knowledge of financial modeling, forecasting, and business valuation techniques.

Proven experience in market research, data analysis, and preparing investment proposals

Prior experience working with venture capital firms or startups.

Knowledge of emerging technologies and startup ecosystems.

Certification in Business Analysis (CBAP) or Financial Analysis (CFA) is a plus

We are seeking a dynamic and experienced Sales Manager - Consulting to lead business development and sales efforts across the APAC region. The ideal candidate will have a proven track record in selling IT Consulting services with a strong focus on acquiring new logos and expanding client relationships in onshore and offshore project engagements.

Key Responsibilities:

• Business Development & Sales Strategy:
  Develop and implement strategic sales plans to penetrate new markets and win new logos in the APAC region, particularly in IT consulting projects.
• Client Acquisition & New Logo Sales:
  Identify, target, and close new business opportunities by acquiring new clients and expanding into new sectors. Build a pipeline of prospective customers and nurture them into clients.
• Consulting Project Sales (Onshore & Offshore):
  Sell consulting services (IT) that include both onshore and offshore delivery models. Position the value of onshore consulting for high-touch projects and offshore teams for cost-effective solutions.
• Stakeholder Management & Relationship Building:
  Build and maintain strong relationships with senior stakeholders in potential client organizations. Leverage relationships to generate consulting project opportunities and ensure client satisfaction.
• APAC Market Expertise:
  Develop a deep understanding of the APAC region's consulting landscape, market trends, and customer needs. Tailor solutions to fit the unique requirements of each market.
• Collaborate with Delivery Teams:
  Work closely with internal consulting and delivery teams to ensure client expectations are met and projects are delivered on time and within budget.
• Sales Targets & Performance:
  Meet or exceed sales targets for both new client acquisition and revenue growth from existing clients. Provide accurate sales forecasts and pipeline reports to senior management.
• Proposal Development & Contract Negotiations:
  Lead the creation of proposals and presentations for prospective clients. Negotiate terms and contracts in alignment with company goals and market standards.

Proven Experience in IT & Non-IT Sales:
Minimum of 10 years of experience in sales or business development roles, preferably in IT consulting services.

New Business Acquisition Expertise:
Demonstrated ability to consistently win new logos and grow client portfolios across various industries.

Strong APAC Market Knowledge:
Experience in the APAC region with a deep understanding of the local markets, regulations, and business culture.

Consulting Sales Expertise:
Experience in selling consulting services for both onshore and offshore projects with a clear understanding of delivery models and client expectations.

Strong Networking & Relationship Skills:
A well-established network of contacts and the ability to build and nurture client relationships at senior levels.

Results-Oriented & Goal-Driven:
Proven track record of achieving and exceeding sales targets, with a focus on long-term client success and revenue growth.

Excellent Communication & Negotiation Skills:
Strong ability to present, negotiate, and close deals with senior decision-makers.

Industry Knowledge:
Knowledge of key industry verticals such as banking, Insurance, healthcare, manufacturing, retail, and logistics is a plus.

The Junior Financial Analyst will support the finance team in data analysis, financial forecasting, and reporting. This role involves collecting and interpreting financial data, preparing reports for management, and assisting in budgeting processes. The ideal candidate will have a strong analytical mindset, attention to detail, and a passion for finance.

• Minimum a Bachelor’s degree in Finance, Accounting, or a related field.
• 1-2 years of experience in financial analysis or a relevant position.
• Proficiency in Microsoft Excel; experience with financial modeling is a plus.
• Strong analytical and problem-solving skills.
• Good understanding of financial principles and accounting standards.
• Ability to effectively communicate financial information to non-financial stakeholders.
• Detail-oriented with strong organizational skills.
• Ability to work collaboratively in a team environment.
• Willingness to learn and take on new challenges.

• Design, develop, and maintain scalable data pipelines and ETL processes using Hadoop and Spark.
• Write efficient and optimized data processing jobs in Scala to transform and load data.
• Utilize SQL for querying and manipulating data across various databases.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
• Monitor and troubleshoot data processing workflows to ensure high performance and reliability.
• Implement best practices for data quality, governance, and security.
• Document data engineering processes, workflows, and architecture for team knowledge sharing.
• Stay updated on industry trends and emerging technologies to continuously improve our data strategies.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Hadoop ecosystem components (e.g., HDFS, Hive, Pig).
• Hands-on experience with Apache Spark for big data processing.
• Proficient in Scala programming for data transformation tasks.
• Advanced SQL skills for querying and managing large datasets.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical and problem-solving skills.

• Assist in the development and optimization of ETL processes using PySpark and Databricks.
• Collaborate with team members to design and implement data models and architecture in AWS.
• Maintain and monitor data pipelines to ensure data quality and reliability.
• Utilize GitHub for version control and collaboration on codebases.
• Participate in code reviews and contribute to best practices in coding and data engineering.
• Support the team in implementing CI/CD practices for data workflows.
• Document processes and workflows for data engineering tasks.

• Familiarity with AWS services (e.g., S3, Redshift, Glue) and cloud computing concepts.
• Basic knowledge of Databricks and PySpark for data processing.
• Understanding of Git and experience with GitHub for version control.
• Awareness of DevOps principles and tools (e.g., CI/CD, Docker) is a plus.
• Databricks certification is a plus.

We are seeking an experienced Data Engineer with a strong background in Hadoop, Spark, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and platforms to support critical banking applications and decision-making processes.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain efficient data pipelines and workflows using Hadoop and Spark frameworks to support the bank’s data processing needs.
• Data Integration & ETL: Create ETL processes to extract, transform, and load large datasets into Hadoop ecosystems from various banking systems, ensuring data consistency and accuracy.
• Database Management: Write optimized SQL queries to manage and analyze data stored across relational databases, data lakes, and cloud platforms.
• Data Processing & Analysis: Implement scalable data processing solutions to analyze large datasets, provide insights, and deliver solutions for financial services and risk management.
• Collaboration: Work closely with business analysts, data scientists, and IT teams to ensure data solutions align with banking sector needs, including compliance with regulations and reporting requirements.
• Performance Optimization: Fine-tune Hadoop and Spark applications for performance, improving throughput and reducing latency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong years  experience as a Data Engineer, specifically within the banking or financial sector.
• Proficiency in Hadoop ecosystem tools (HDFS, Hive, HBase) and Spark for large-scale data processing.
• Strong experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Experience in data governance and compliance regulations within the financial industry.
• Excellent problem-solving and analytical skills.

• Salary: SGD 6000 - 9500
• Great Work Culture
• Includes comprehensive insurance for self and family. Includes Specialist and Dental Coverage.
• Includes Standard Annual and Sick Leave

• Evaluate existing BAU process and identify areas that need improvement and propose options as solutions
• Familiarity with Risk data and good knowledge of data discovery and lineage between data tables in ADA will be a plus
• Maintain robust communication among all the stakeholders to ensure proper coordination and delivery of tasks and activities 
• Maintains all required documentation related to data flow, the design and process changes to a high standard for audit readiness 
• Adept at juggling between tight timelines, limited resources, and multiple deliverables. Able to anticipate needs and problems to ensure successful and timely delivery of projects and initiatives
• Participate in various workshops from BU initiatives
• Perform other duties and responsibilities, as assigned

• Contribute to projects / initiatives, starting from Requirements Gathering, Design, Solutioning, Functional Specs review to User Acceptance Testing and Live Verification. 
• Must have good working hands-on experience in data querying (SQL and such) and handling of data schemas and data wrangling. 
• Works in close collaboration with various Workstreams, UX Designer and Tech counterparts to elicit business requirements, supports the design and conceptualization of new requirements and visualisation, analyse all possible scenarios, and articulates impacts and risks, as identified, ensure consistent use and implementation of processes.
• Review requirements to ensure alignment to design principles and information architecture.
• Attend to user stories/requirements and work with Tech partners on solutioning and implementation based on prioritisation.
• Join regular scrum meetings and user stories grooming sessions to ensure that enhancements are delivered accordance to business requirements/solutions and is within budget and timelines.
• Review solution proposal from Tech team and provide effective challenge and counter proposal
• Bilingual with proficiency in Mandarin preferred to liaise with Mandarin speaking clients.

• Model Development: Design and develop AI/ML models for transaction monitoring, focusing on anomaly detection and risk scoring.
• Data Analysis: Analyze large datasets to identify trends, patterns, and potential risks associated with financial transactions.
• System Optimization: Continuously improve the performance of monitoring systems by tuning models, refining algorithms, and integrating new data sources.
• Regulatory Compliance: Ensure that transaction monitoring processes meet all regulatory requirements and industry standards, including AML/KYC.
• Collaboration: Work closely with cross-functional teams, including compliance, IT, and risk management, to align monitoring strategies with business objectives.
• Reporting and Documentation: Prepare detailed documentation of model development processes, performance metrics, and compliance efforts.
• Training and Support: Provide training and support to team members on transaction monitoring tools and AI/ML methodologies.
• Research: Stay updated on industry trends, emerging technologies, and best practices in transaction monitoring and AI/ML.

• Experience: 3+ years of experience in transaction monitoring, fraud detection, or financial crime risk management, with a strong focus on AI/ML applications.
• Technical Skills: Proficiency in programming languages (e.g., Python, R), experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn), and familiarity with data visualization tools.
• Certifications: Relevant certifications (e.g., CAMS, CFE) are a plus.

• Design, develop, and maintain scalable applications using Hadoop and Big Data technologies.
• Build responsive user interfaces using modern front-end frameworks (e.g., React, Angular, Vue.js).
• Implement back-end services using Java and related frameworks.
• Collaborate with cross-functional teams in an Agile environment to define, design, and deliver new features.
• Troubleshoot and resolve production issues, ensuring high availability and performance of applications.
• Write clean, maintainable, and efficient code while adhering to best practices.
• Participate in code reviews and provide constructive feedback to team members.
• Stay updated on emerging technologies and industry trends to incorporate into solutions.

• Proven experience as a Full Stack Developer or similar role.
• Strong proficiency in Java and familiarity with Hadoop ecosystem components (e.g., HDFS, MapReduce, Hive, Pig).
• Experience with Big Data technologies (e.g., Spark, Kafka).
• Proficient in front-end technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, or similar).
• Solid understanding of Agile methodologies and practices.
• Experience in production support and troubleshooting in complex environments.

Key Responsibilities:

• Requirements Gathering: Collaborate with various stakeholders, including clients, operations teams, and IT departments, to gather and document business requirements related to Custody operations.
• Process Analysis: Analyze existing Custody processes and identify areas for improvement, streamlining, and automation.
• Data Analysis: Utilize data analytics tools to assess the performance of Custody operations and identify trends or anomalies that require attention.
• Regulatory Compliance: Stay up-to-date with relevant regulatory requirements (e.g., Dodd-Frank, UCITS, AIFMD) and ensure that Custody operations comply with these regulations.
• System Evaluation: Assess and provide recommendations for Custody-related technology systems, including Custody platforms, trade processing, and settlement systems.
• Solution Design: Work closely with the IT team to design and implement technology solutions that enhance Custody operations, including integrating new systems and functionalities.
• Testing and Quality Assurance: Develop and execute test plans to ensure that system enhancements or new features meet business requirements and perform adequately.
• Stakeholder Communication: Effectively communicate with various stakeholders, including senior management, to provide updates, progress reports, and recommendations.
• Risk Assessment: Identify and assess operational and compliance risks associated with Custody operations and recommend strategies to mitigate these risks.

Qualifications:

• 5+ years of experience in the financial services industry with a focus on Custody operations.
• Strong knowledge of Custody operations, regulations, and industry best practices.
• Proficiency in data analysis and business intelligence tools.
• Experience with project management and business process improvement methodologies.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a cross-functional team.
• Strong problem-solving and critical-thinking abilities.
• Relevant certifications (e.g., CFA, CIPM, CBAP) are a plus.

• Design the solution and develop the software using waterfall/Agile methodology.
• Perform investigation, troubleshoot issues by developing scripts, SQL queries.
• Work closely and collaborate with the Business Analysts and Quality Engineers/application testers for user stories elaboration, test automation, bug fixes etc.
• Work with deployment team/DevOps team on setting up continuous integration, build and release automation.
• Provide estimates for stories during sprint planning for Agile project.
• Convert acceptance criteria into automated unit tests cases.
• Support production issues and duty rotation for after-office-hours support
• Champion Agile technical practices such as test-driven development, pair programming and refactoring
• Involve in application deployment to the various environments.

• Demonstrable skills in Java, Dot Net, Python, Dynamics CRM, SharePoint, Mobile, Cloud or SSIS development
• Demonstrate knowledge of automated software testing methodologies such as unit testing, integration testing, functional testing, test driven development (TDD) and behaviour driven development (BDD).
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Hands-on experience in big data engineering jobs using e.g. Python, Pyspark, Linux or ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Demonstrate knowledge of creating packaging / build scripts with Docker etc.