Java Python Software Engineer

Sr. Analyst

VP Recovery & Resolution Planning (RRP) Model Development and Governance

Market Risk Reporting Lead Analyst

Data Analyst (1 year contract)

Embedded Software Engineer

Business Intelligence Software Engineer

Data Analyst

Senior Data Scientist

Lead, Data Engineering

<ul><li>The opportunity to work on a variety of different technology platforms - ranging from well established players like Oracle through to emerging leaders like Featurespace, Netguardians, Quantexa etc.</li><li>The opportunity to get trained and formally certified in a number of these technology platforms, which provides for sought after specialist skills, experiences and certifications which drive candidates value in the market</li><li>The opportunity to work on the latest technologies including machine learning/AI, OCR, robotic process automation, sophisticated business process management / workflow tools, data models etc.</li><li>The opportunity to work on a variety of programming frameworks and languages (not just Java and Python)</li><li>The opportunity to get experience in Regtech, which is a large and growing market (expected to be 16bn USD annual spend by 2025</li><li>The opportunity to work on regional and international clients and occasionally to travel and work in regional / international locations</li></ul>

Responsibilities: <ul><li>Working on Scripting –Shell Script, Power shell, Python, Perl, Groovy</li><li>Working on Automation tools using Ansible, Docker, Kubernetes/OpenShift, Jenkins etc.</li><li>Working on Programming: Java</li><li>Managing Database: Oracle, PostgreSQL, MySQL</li><li>Manage and support of Build and Release applications, i.e BitBucket, Jenkins, Kubernetes/Openshift, Sonatype Nexus repository, Docker, Ansible etc.</li><li>Support build tools i.e Ant/Nant, Maven, MS Build</li></ul> Requirements: <ul><li>7 - 8 years of experience in Build and deployment automation. Should have expertise in below skills.</li><li>Automation: Shell, Python, Power Shell, Perl, Groovy scripting</li><li>Deployment tools: Ansible, Docker, Kubernetes/OpenShift, Jenkins etc..</li><li>Programming languages: Java</li><li>Database: Oracle, PostgreSQL, MySQL</li><li>Good systems/infrastructure knowledge of Linux and Windows</li><li>Build tools: Maven, Ant/Nant, MS Build</li><li>CI/CD tools –Jenkins</li><li>Artifact repository management tool : Sonatype Nexus</li><li>Static Code Analysis – SonarQube</li><li>Elasticsearch Logstash Kibana (ELK), Prometheus, Grafana would be added advantage</li><li>Degree in Computer Science, Software Engineering or IT related area</li></ul>

Responsibilities: <ul><li>Development of statistical or non-statistical forecasting models for key Balance sheet and income statement line items for RRP purposes</li><li>Steering stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their signoffs on Champion models</li><li>Understanding of forecasts, processes and approaches used in CCAR, Liquidity Risk Management, and Interest Rate Risk Management</li><li>Manage the Segmentation, Risk Identification, overlay discussions with stakeholder teams</li><li>Responsible for reviewing and timely submission of Model development documentation (MDDTs) to Model Risk Management</li><li>Align with Model Risk Management on modeling and validation practices and have periodic check-ins with them</li><li>Create a culture of accountability and strict quality control of the data integrity and modeling process</li><li>Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation; a critical activity in reducing the model operating risk</li><li>Ability to build key relationships with stakeholder teams</li><li>Must be able to present technical matters in a way that is meaningful to the audience</li><li>Ability to influence people and empower team members to be proactive and focused on partnerships and results</li></ul> Requirements: Basic Qualifications: <ul><li>At least 4 years of experience in financial services company</li><li>Bachelor’s degree in a quantitative-focused discipline</li><li>At least 2 years of experience using VBA, Python, R, OR SQL programming languages</li></ul> Preferred Qualifications: <ul><li>At least 6 years of experience within treasury for a financial company</li><li>Advanced degree in a quantitative focused discipline</li><li>At least 3 years of experience using VBA, Python, R, OR SQL programming languages</li><li>At least 3 years of experience supporting projects that build or test financial models.</li></ul>

Responsibilities: <ul><li>Participates in preparing regular and time-sensitive market risk analytics, visualizations and reports to the risk managers, senior management, and regulators, with close collaboration with risk managers in expertise.</li><li>Centrally acquire all data related to a market risk management area while ensuring data quality, completeness, and consistency.</li><li>Develop expertise in the specific risk management area, i.e. Market Risk,including risk metrics, risk governance, as well as related data and technology infrastructure.</li><li>Leverage risk and technical expertise to increase the information value of the content with actionable insights for management.</li><li>Drive process improvement opportunities that enhance the efficiency of the production process.</li><li>Provides information to Risk Management and the business for audit, stress testing and --hoc related queries.</li><li>Contributes to the analysis and preparation of reports of Internal Management, Regulators, Auditors, etc. that detail risks inherent in Market or other Risk portfolios. Reporting can cover a variety of areas including but not limited to portfolio concentrations, limit exceptions. Stress testing, loss reserves or high-risk exposures.</li><li>Supervises and trains new team members in standard methodologies and tools</li><li>Responsible for conducting process reviews to ensure reporting processes are efficient and lean</li><li>Collectively works with technology to ensure system enhancements are aligned with the needs of management reporting</li><li>Ability to exercise independence of judgement and autonomy</li><li>Acts as SME to senior stakeholders and/or other team members</li><li>Engages and communicates with teams across management reporting to understand current reporting deliverables</li><li>Recognizes what the end state should be but executes smaller steps to materialize results quickly</li><li>Ability to operate with a limited level of direct supervision</li></ul> Requirements: <ul><li>Bachelor’s or master’s degree in science, engineering; or finance, economics; or related analytical fields</li><li>7+ years advanced level experience in related field with market risk reporting experience preferred</li><li>Market Risk Reporting experience is preferred, covering&nbsp;VaR/SVaR/Backtesting/BCBS/FRTB</li><li>Experienced leading small to mid-size teams preferred</li><li>Advanced knowledge of Microsoft Excel, Access, Powerpoint</li><li>Skills in data, analytics, databases, data quality are desired; experience in Tableau, PowerBI, visualization is preferred</li><li>Coding experience in Python, R, SAS, Stata (or related statistics packages) with complex data is helpful</li><li>Knowledge of and interests in finance, markets, risk management</li><li>Good team player and excellent work ethics</li><li>Strong communication, organizational &amp; interpersonal skills</li><li>Market&nbsp;Risk/VaR/SVaR/Market Factor Sensitivities/FRTB/BCBS/Tableau</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>Duties include analyzing, designing, coding and code modification (typically in C/C++) of software designs of airborne embedded software implementations.</li><li>Participate in requirements management via DOORS, systems specifications, and interface management.&nbsp;&nbsp;</li><li>Manage software lifecycle data via DIMENSIONs configuration management tool.</li><li>Generate software requirements to integrate avionics sensors and equipment (i.e. engines, ARINC429, hydraulics, electrical systems, landing gear, RS-422, analog signals, discretes, CAN Bus, etc.)</li><li>Assist in the evaluation of software designs to identify design flaws.</li><li>Utilize a Windows and MOSA based software development environment.</li><li>Assist in the verification and validation testing of airborne embedded software using a desktop simulation environment, systems integration labs, surrogate platforms flight testing and aircraft flight testing.</li></ul> Requirements:&nbsp; <ul><li>Bachelor's Degree is required.</li><li>Major in in Computer Science, Electrical or Aerospace Engineering is preferred.&nbsp;</li><li>Applied Sciences (Physics) or Mechanical Engineering may be considered with applicable embedded software experience.</li></ul> Position Requirements:&nbsp; <ul><li>At least 5 years of relevant software experience, preferably in aerospace industry.</li><li>Ability to develop software in a RTOS environment.</li><li>Interest with ARINC653 software specification for space and time partitioning in safety-critical avionics real-time operating systems (RTOS)</li><li>Skilled in utilizing modern programming languages (e.g. C++, C#, Java, Python).</li><li>Skilled with embedded software development on Multicore processors.</li><li>Motivated person with strong problem-solving abilities, willingness to perform a wide variety of related tasks.</li><li>Effective communication skills (both verbal and written).</li><li>Interest in modern airborne sensors, avionics, mission systems, weapons systems, or electrical systems integration, development, and testing.</li><li>Familiarity with commercial certification and military qualification of aircraft systems is advantageous.</li><li>Experience with Eclipse based software is advantageous (most chip vendors and software vendors are moving to this IDE. TI-CodeComposer, NXP-CodeWarrior, DDC-I OpenArbor, etc.).</li><li>Linux/Unix experience (simple commands like ls (in windows dir), rm (del a file), md, cd, rd (make directory, change directory and remove directory) man – the builtin help documentation.</li><li>Software repositories – GiT , Tortoise GiT or some other tool that has been wrapped around GiT.</li><li>Experience with DO-178B/C software development lifecycle guidelines – Software Considerations in Airborne Systems and Equipment Certification (and the DO-178C supplements).</li><li>Interests with the integration of the Army’s Future Airborne Capability Environment (FACE) on vertical lift vehicles.</li></ul>

Responsibilities: <ul><li>Translate business needs to technical specifications</li><li>Design, build and deploy BI solutions (e.g. reporting tools)</li><li>Maintain and support data analytics platforms (e.g. MicroStrategy)</li><li>Create tools to store data (e.g. OLAP cubes)</li><li>Conduct unit testing and troubleshooting</li><li>Evaluate and improve existing BI systems</li><li>Collaborate with teams to integrate systems</li><li>Develop and execute database queries and conduct analyses</li><li>Create visualizations and reports for requested projects</li><li>Develop and update technical documentation</li></ul> Requirements: <ul><li>In depth experience in business intelligence, data warehouse, ELT/ETL.</li><li>In depth experience in delta and data lake, apache spark, python, parquet files, azure synapse analytics.</li><li>Experienced in working in multi-cloud environment</li><li>SQL server database engine, TSQL, SQL server integration, services,</li><li>Comprehensive experience in BI analytics, conceptual design and modelling of BI solutions.</li><li>Hands on experience in designing, developing and implementing ETL/ ELT processes and data warehouse</li><li>SSAS Tabular and DAX, SSAS Multidimensional and MDX, SSRS, power BI, R, CDS, experience with Navision and CRM</li><li>Highly motivated and results orient</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

Responsibilities:<ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul>&nbsp;Requirements<ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

Responsibilities: <ul><li>Translate business requirements to responsive functional web solutions.&nbsp;</li><li>This includes designing and building APIs, front-end interfaces and scalable tools that ingest and transform real-time data using a variety of open-source and proprietary big data technologies.</li><li>Recommend and implement ways to improve data reliability, efficiency and quality</li><li>Work closely with stakeholders to ensure high standards of data governance during implementation</li><li>Serve as technical subject matter expert on the latest big data technologies</li></ul> Requirements: <ul><li>Hands-on proven track record in developing products from front-end interface, middle-tier, to backend infrastructure</li><li>7+ years of superior experience developing commercial web-based applications</li><li>4+ years of full-stack web development experience in Javascript (node.js and React framework)</li><li>Proficiency in SQL is mandatory</li><li>Excellent scripting knowledge in Python, Shell etc</li><li>Those with strong production experience in Scala or Spark programming languages will be considered favourably</li><li>Relevant experience in web, video, mobile or adtech domain is a definite plus</li><li>Demonstrated clear and thorough analytical thinking</li><li>Good eye for aesthetics and an attention to detail</li><li>A proven team player and contributor who can multi-task and deliver against timelines</li><li>Minimum degree in Computer Science/Engineering, or equivalent</li></ul>

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24 python Jobs found

Java Python Software Engineer

Sr. Analyst

VP Recovery & Resolution Planning (RRP) Model Development and Governance

Market Risk Reporting Lead Analyst

Data Analyst (1 year contract)

Embedded Software Engineer

Business Intelligence Software Engineer

Data Analyst

Senior Data Scientist

Lead, Data Engineering

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24 python Jobs found

Java Python Software Engineer

Sr. Analyst

VP Recovery & Resolution Planning (RRP) Model Development and Governance

Market Risk Reporting Lead Analyst

Data Analyst (1 year contract)

Embedded Software Engineer

Business Intelligence Software Engineer

Data Analyst

Senior Data Scientist

Lead, Data Engineering

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.