Your new company

Our client is a well known international financial services institution that continues to be ahead of the curve in multiple sectors

Your new role

This is a great role for a diploma holder or a fresh graduate who is looking for an entry role within Financial Services. You'll be responsible for networking, getting to know banking products and advising potential customers on the best product for them. This role will be based at various locations on-site at corporations and you'll be responsible to deepen client relationships via cross selling.

What you'll need to succeed

Ideally you'll have some sales background and your base salary will reflect this experience. What is essential is that you are self-motivated and driven with an ability to work under pressure. Due to the client base, this role requires mandarin speakers and some Saturdays for events (you will receive time off in lieu)

What you'll get in return

This is a great opportunity for someone to get experience within the financial services space in a client facing role. You'll be able to network with various individuals as well as gain experience in a market leading institution to set you up with a strong career path.

What you need to do now

If you're interested in this role, click 'apply now' or forward an up-to-date copy of your CV to me at [email protected].

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

EA Personnel Registration No: R2094213 | EA License No: 07C3924 | Company Registration No: 200609504D

You will have to upkeep with financial record-keeping ( invoices from suppliers), budgeting (outgoing and incoming expenses), and reporting for accounting (book keeping) . You will also have to also perform clerical duties, such as answering phone calls and emails(reply back to mails), filing paperwork (invoices), and scheduling appointments (clients data entry).

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Cloud Data Engineer (AWS, Databricks, and Informatica IDMC)

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Responsibilities:

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

· Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

· Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

· Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

· Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

· Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

· Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

· Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

· Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

· Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

· Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

· Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

· Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

· Bachelor’s or master’s degree in computer science, data engineering, or a related field.

· Minimum 5 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

· Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

· Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

· Strong knowledge of SQL and NoSQL databases.

· Familiarity with data modeling and schema design.

· Excellent problem-solving and analytical skills.

· Strong communication and collaboration skills.

· AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

· Experience with big data technologies like Apache Spark and Hadoop on Databricks.

· Knowledge of containerization and orchestration tools like Docker and Kubernetes.

· Familiarity with data visualization tools like Tableau or Power BI.

· Understanding of DevOps principles for managing and deploying data pipelines.

· Experience with version control systems (e.g., Git) and CI/CD pipelines.

· Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Preethi Kanthappan

Reg No: R1765546

Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

* Liaise with Customr Enquiries.

* Raise Quotation, Delivery Order, Invoice.

* Update Sales + Purchase Reports for Spare Parts Items.

* Good in Order Processing + Followup.

* Ensure Timely Delivery to Customers.

* Coordinate Work Process.

* Prepare Materials + Parts for Technicians.

* Maintain Records, Filings, documentations for Work Scheduling & etc.

* Handle Warranty Claims

* Other Ad-Hoc.

Salary: $12/hr

Job Duration: 3 mths

Working Days & Hours: 8.15am to 5.30pm, Monday to Friday

Location: Tuas

Job Description:

Assembly microarray parts

Heatstaking of inserts

Other ad hoc duties

Job Requirements: Min GCE A Levels or Diploma

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient big data platform solutions.
• Design and architect robust big data platforms, ensuring high performance, reliability, and scalability.
• Implement end-to-end data processing workflows, from data collection to analysis and visualization.
• Work closely with data scientists, analysts, and engineers to optimize data models and algorithms for efficient and accurate data analysis and mining.
• Lead the implementation and deployment of big data technologies, ensuring smooth integration with existing systems and infrastructure.
• Provide technical guidance and mentorship to development teams on big data best practices, tools, and technologies.
• Collaborate with stakeholders to define data governance and security policies and ensure compliance.
• Conduct performance tuning, monitoring, and troubleshooting of big data platforms to optimize performance and reliability.
• Stay up-to-date with industry trends and advancements in big data technologies and DevOps practices, and provide recommendations for adoption as appropriate.
• Successfully deliver projects, including big data platform implementations, data warehouse architectures, data analysis and mining, and user profiling and tagging systems.

Qualifications:

• Bachelor's degree in Computer Science, Computer Technology, or a related field. Advanced degree preferred.
• Proven experience as a Big Data Architect or Senior Big Data Engineer, with extensive experience in planning, designing, implementing, delivering, and maintaining big data platforms.
• Proficiency in the entire data processing workflow, including data collection, cleansing, preprocessing, storage, analysis, mining, and visualization.
• Demonstrated project experience in designing, developing, delivering, and deploying BI products.
• Strong project experience in business analysis and data applications in mainstream industries such as virtual currency, food delivery, internet retail, freight logistics, banking, finance, and e-commerce.
• Knowledgeable in big data technologies, frameworks, and tools such as Hadoop, Kafka, Flume, Spark
• Skilled in microservices deployment and maintenance, with expertise in DevOps practices.
• Involved in data warehouse architecture design and implementation, data analysis and mining, and user profiling and tagging system design and development.
• Successfully implemented projects in the field of big data, data warehousing, and business intelligence.

Sumit Sambhi

EA License No. – 23C2060

EA Registration No. - R1330510

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Our client is a Global Manufacturing MNC, one of the leading players in the Oil & Gas servicing sector. Due to their current expansion plan, they are looking for a Shipping Clerk to join their team, in hopes of developing the current high performing team. They are located in the West.

The Responsibilities of Shipping Clerk:

• Arrange transportation for subcontracted components and internal transfers
• Coordinate in local deliveries & shipment collections
• Assist in the item packing plans and considering special shipping requirements from sales administration
• Assist with warehouse team to ensure shipping items are loaded out correctly
• Handle imports and exports shipments
• Thoroughly prepare and verify all necessary documentation prior to scheduled shipments
• Complete post-shipment documentation such as delivery orders and shipping records
• Engage with customers to make appropriate shipping arrangements

Requirements:

• Min O-level or equivalent
• Min 2 years of relevant working experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Job Scope:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Entry level Nitec / Diploma in Engineering X 5 Opening

Junior/Senior / No experience / Entry level welcome apply ( X5 Permanent Role Opening ) URGENT !!!

Good Pay + Good allowance + Good Bonus

Full training provided for Entry Level

The Job

• Assist Supervisor in day-to-day operation lines. Planning & Co-coordinating the workflow on production lines to achieve production targets. Trouble shooting production problems and assist in planning new project work.

Requirement

• Diploma / PSB Diploma / Higher Nitec / Nitec in Mechanical / Mechatronics Engineering or others Engineering related

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Generating data to establish a basis for analyzing sales and fostering market growth through the utilization of Microsoft and SAP software.
• Responsible for promotional initiatives, generating leads, and contributing to the development of sales strategies.

Requirements:

• Degree in Marketing or equivalent.
• At least 2 years of relevant experience.
• Proficient in Microsoft Excel.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R24120303

Job Scope:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.
• Able to work independently, with initiative and minimal guidance/supervision

• Maintain employee records and files, ensuring accuracy and compliance with company policies
• Complete onboarding and offboarding processes for new and departing employees
• Collect and maintain employee files, such as applications, resumes, and other documents
• Assist with recruiting, including scheduling interviews and verifying references.
• Perform data entry and filing of all HR related documents
• Assist with HR projects, such as creating employee handbooks and updating job descriptions
• Manage employee attendance records and vacation requests
• Provide support to the HR team with tasks various tasks as needed
• Perform payroll duties
• Times Software
• Handle work pass renewal, application

SIA will be conducting interviews for Direct Entry Captains. If you meet the following requirements, we will be pleased to receive your application:

• Possesses a valid Class 1 Medical Certificate (recognized or can be validated by CAAS)
• Holds a valid ATPL (recognized or can be validated by CAAS)
• Minimum 7000 hours inclusive of 3000 PIC hours on commercial jets in international operations
• Minimum height requirement of 1.62m to carry out safety and emergency procedures on board

Selection Process

All interviews will be held in Singapore. Applicants undergo various stages comprising of online application, interview with senior management, simulator assessment and medical check-up.

Training

Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating.

Employment

Successful candidates can be assigned to any fleet under the SIA Group. Successful candidates will enjoy a rewarding career coupled with extensive training and personal growth development with Singapore Airlines.

Remuneration and Service Benefits

You will enjoy an attractive salary, along with various allowances and benefits.

Bond

Successful candidates who are provided with type rating training will be required to enter a training bond.

Application

We regret to inform that only shortlisted candidates will be notified.

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, and customer hyper-personalization.
2. Work with quants, traders and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Develop causal models and optimization algorithms to dynamically price financial products and respond to market volatility.
4. Strategize, execute, and evaluate marketing campaigns and pricing experiments.
5. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the selection of optimal methodologies.
6. Perform hypothesis testing to discover causal drivers for customer and market behaviours.
7. Implement and train AI/ML models, optimizing algorithm efficiency through GPU distributed computing and concurrent programming.
8. Write and refactor code into reusable libraries/ APIs, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

• Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.
• Exceptional software skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with expertise in design patterns, code optimization, and object-oriented programming.
• Experience applying quantitative and machine learning algorithms to pricing and marketing domains.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.
• Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.
• Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

Key Skills:

Python, machine learning, causal inference, SQL, experimentation, A/B Testing, Multi-Armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis.