Software Engineer Systematic Trading

Data Science- C12

Flight Control Systems Engineer

Senior Data Scientist

Data Quality and Information Management - AVP

Data Science Senior Manager, Measurement

Principal Software Engineer

Software Quality Assurance Engineer

Data Scientist

Avionics Engineer

Responsibilities: <ul><li>Develops and maintain Order &amp; Execution Management System by designing, developing, and supporting business requirements, following the software development lifecycle.&nbsp;</li><li>Individual contributor who will develop quality code.</li><li>Proactively engage and communicate with other teams like other Development, QA and Support as required.</li><li>Ensure full compliance to all and required training and regulatory requirements for the team.</li></ul> Requirements: <ul><li>5-12 years of solid hands on experience in designing &amp; development of application in Core Java/.NET/C#.</li><li>Basic understanding of RDBMS &amp; Middleware/Messaging layer Solace, Tibco EMS.</li><li>Design, build, and maintain efficient, reusable, and reliable Java code.</li><li>Translate application storyboards and use cases into functional applications.</li><li>Familiarity with Automation, Agile development artifacts, best practices, and techniques.</li><li>Ensure the best possible performance, quality, and responsiveness of the applications</li><li>Identify bottlenecks and bugs, and provide solutions to these problems.</li><li>Passionate willingness to self-learn new technologies and best practices.</li><li>Capable of working under a fast pace and dynamic environment with minimal supervision</li><li>Experience in investment banking domain, cash equities &amp; order/execution management Systems</li><li>Diploma/Degree in Computer Science or any IT stream.</li></ul>

Job Role: <ul><li>The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function.</li><li>Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.</li></ul> Responsibilities: <ul><li>Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.</li><li>Mines and analyzes data from various banking platforms to drive optimization and improve data quality.</li><li>Deliver analytics initiatives to address business problems with the ability to determine data required, assess time &amp; effort required and establish a project plan.</li><li>Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.</li></ul> Requirements: <ul><li>Experience in business and data analysis, process improvement and project management</li><li>Ability to effectively use complex analytical, interpretive and problem solving techniques.</li><li>Demonstrated interpersonal, verbal and written communication skills.</li><li>Methodical attention to detail</li><li>Experience using tools for statistical modeling of large data sets</li></ul>

Responsibilities: <ul><li>Understand and adhere to enterprise architecture principles and best practices</li><li>Developing web-based applications that interface with multiple SaaS components</li><li>Writing backend end business logic and integrating front end client UI with backend API’s</li><li>Understand overall infrastructure and success measures for designing and implementing architectures and solutions.</li></ul> Requirements: <ul><li>Bachelor of Science Degree is required</li><li>Major in Computer Engineering, Software Engineering, or Computer Science is preferred.</li><li>Bachelor’s Degree in Physics, Electrical, Aerospace, or Mechanical Engineering will be considered with sufficient software development experience.</li><li>Master’s Degree in the Engineering disciplines mentioned above is preferred.</li></ul> Position Requirements: <ul><li>Experience at all levels will be considered with a minimum of 2 years specific experience with flight controls, software, avionics, or electrical systems integration, development, and testing.</li><li>Familiarity with RTCA DO-160, MIL-STD-810, RTCA DO-178, RTCA DO-254, SAE ARP4754A, SAE ARP4761, 14 CFR Part 27 and Part 29 for commercial and military qualification and certification of aircraft systems.</li><li>Experience with Primary Development Environment:</li><li>MathWorks MATLAB / Simulink with Stateflow and Embedded Coder</li><li>C/C++ code</li><li>C# test scripts</li><li>IBM Rational DOORS</li><li>Serena Dimensions / PVCS</li><li>Git</li><li>Mentor Graphics Capital Harness System</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>Analytical / Project management Skills&nbsp;</li><li>Liaison with Business, Operations and Technology stakeholders to identify critical data elements, define data quality rules, and implement data quality measurement and monitoring</li><li>Implement data quality issue management and resolution processes to ensure data quality issues are identified, prioritized and remediated effectively</li><li>Lead efforts to implement or modify necessary policies, procedures and system enhancements to fill current and future Data Governance Gaps</li><li>Directly manage team of DQ analysts and involve very closely in day to day work.</li><li>Help team members in understanding requirements for all DQ profiling/ ad-hoc requests and provide required support to build logic for the same.</li><li>Provide all the support to Data Governance/Data Stewards including Partner / stakeholder management, expectations settings with partners, prioritization of work to team members, and act as Data and functional SME.</li><li>Develop and maintain project management trackers and provide regular updates to managers, senior leadership team and stakeholders.</li><li>Design, Implement and enforce strong processes and framework to efficiently manage end to end Data Quality engagement. Also, support and help team in process re-engineering, optimization and automation.</li><li>Ensuring required controls, checks, governance, process documentation is always upto date and maintained regularly.</li><li>Having productive team meetings, 1-on-1 meetings regularly with all team members.</li><li>Understand concerns, challenges and roadblocks team is facing and provide them all the required support to overcome the same.</li><li>Proficient in formulating analytical methodology, identifying inconsistencies, anomalies &amp; patterns with data</li><li>Generate actionable Business Insights</li><li>Tools and Platforms&nbsp;&nbsp;&nbsp;&nbsp;</li><li>Proficient in SAS, SQL, Teradata</li><li>Proficient in MS Excel, PowerPoint&nbsp;&nbsp;</li><li>Banking domain (Cards, Deposit, Loans, Wealth management, &amp; Insurance etc.)</li><li>Audit Framework</li><li>Data quality framework</li><li>Risk &amp; control Metrics</li><li>(Preferred) - Knowledge of Finance Regulations, Understanding of Audit Process</li><li>Exposure to BI tools and technologies – example: Tableau or SAS BI etc.</li><li>Automation and process re-engineering / optimization skills</li></ul> Requirement <ul><li>MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications</li><li>(Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields</li><li>10+ years of hands on experience in people management, delivering data quality, MIS, data management with at least 2-3 years’ experience in Banking Industry</li></ul>

Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers, and product partners to develop new machine learning approaches, and measurement strategies.</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.).</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables.</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment, and industrialization of enterprise-level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas.</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li></ul> Requirements: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.&nbsp;</li><li>As a Data Science Senior Manager - Measurement, you: Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement.</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit.</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels.</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time.</li></ul>

Responsibilities <ul><li>Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&amp;T core priorities</li><li>Drive partnerships with User Experience, Product Management, IT, Data &amp; Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio</li><li>Develop software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.</li><li>Lead multi-discipline, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers.</li><li>Interact with executives across the company to lead the narrative around software engineering</li><li>Develop and expand DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences</li><li>Manage and appropriately escalate delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders</li><li>Interact with key business partners to recommend solutions that best meet the strategic needs of the business</li></ul> Requirements <ul><li>A Bachelor’s Degree in Computer Science, Engineering or a related field</li><li>Master’s or PhD in Computer Science or Engineering preferred</li><li>Minimum of 8 years of relevant software development and engineering management experience</li><li>3+ years of experience on architecting fault tolerant, high scale distributed systems</li><li>Commanding knowledge of data structures, algorithms, and object-oriented design</li><li>Expertise in Java and Spring / SpringBoot ecosystem, JUnit , BackEnd MicroServices, Serverless Computing, Creating REST API’S</li><li>Experience with JavaScript/TypeScript, Node.js, React / ReactNative FrontEnd frameworks</li><li>Full stack engineering experience</li><li>Experience with Azure Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions</li><li>Experience with mission critical, 24x7 systems</li><li>Experience with high throughput cloud native distributed systems</li><li>Experience implementing and consuming large-scale web services</li><li>Deep knowledge of design patterns</li></ul>

Responsibilities : <ul><li>Participate in requirements gathering and planning for web application projects.</li><li>Preparation, execution, and maintenance of Software Quality Assurance test plan to verify the fulfilment of requirements.</li><li>Create, perform, and maintain automated regression testing for web applications.</li><li>Collaborate with developers, UI/UX specialists, and other team members to improve usability and conformance to requirements.</li><li>Stay up to date on emerging technologies and techniques.</li></ul> Requirements : <ul><li>A Bachelor’s degree in Computer Science, Computer Engineering, or related discipline;</li><li>Hands-on experience with creating, maintaining, and executing test plans for quality assurance;</li><li>Hands-on experience with using automated testing tools like Selenium;</li><li>Hands-on experience with using source control tools like git;</li><li>Strong critical thinking and multi-tasking skills, with a strong sense of initiative;</li><li>Excellent interpersonal communication, writing, and presentation skills in English; and</li><li>Experience in working in a team with people of diverse skill sets.</li></ul>

Responsibilities: <ul><li>Collaborate and work closely with stakeholders to identify opportunities for leveraging data to drive business outcomes.</li><li>Perform exploratory data analysis to answer business questions and inform business decisions.</li><li>Design and develop the end-to-end workflows to productionize machine learning models and be involved in the entire data science lifecycle, including the formulation of use cases, extraction of data, development and maintenance of models and tracking and communication of results.</li></ul> Requirements: <ul><li>Degree in Computer Science, Machine Learning, Business Analytics, or similar quantitative discipline.</li><li>Fluency in one or more programming languages, such as Python, SQL and SAS.</li><li>3+ years of relevant experience in working with large and complex data sets and developing machines learning solutions, preferably on an enterprise data science platform such as CDSW.</li><li>Good foundational knowledge in statistical and advanced analytics concepts such as hypothesis testing, A/B testing, sampling, and evaluation metrics.</li><li>Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.</li><li>Experience with deep learning frameworks such as TensorFlow / PyTorch and big data technologies such as Hadoop / Spark is an advantage.</li><li>Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.</li><li>Proactive team player and curious about data.</li></ul>

Responsibilities: <ul><li>Design and test of Avionics &amp; Electrical Systems with integration of complex software and hardware, including Electrical Power Generation and Distribution Systems, Integrated Avionics Systems and Displays, Communication and Navigation Systems, Mission Equipment Integration, Sensors and Vehicle Health Monitoring Systems.</li><li>System and software design, requirements management, systems specifications, interface management, system safety assessment, verification and validation testing in desktop simulation environment and systems integration labs, aircraft flight test, and aircraft/system qualification and certification.</li></ul> Requirements: <ul><li>Bachelor’s Degree is required; Major in Electrical Engineering, Computer Engineering, or Software Engineering is preferred and Bachelor’s Degree in Physics, Computer Science, Aerospace, or Mechanical Engineering will be considered.</li><li>Master’s Degree in the Engineering disciplines mentioned above is preferred.</li></ul> Position Requirements: <ul><li>At least 6 year’s experience directly related to the responsibilities of this position.</li><li>Experience with flight controls, software, avionics, or electrical systems integration, development, and testing.</li><li>Familiarity with RTCA DO-160, MIL-STD-810, RTCA DO-178, RTCA DO-254, SAE ARP4754A, SAE ARP4761, 14</li><li>CFR Part 27 and Part 29 for commercial and military qualification and certification of aircraft systems</li><li>Experience with Primary Development Environment is preferred</li><li>MathWorks MATLAB / Simulink with Stateflow and Embedded Coder is preferred</li><li>C/C++ code experience preferred</li><li>C# test scripts experience preferred</li><li>Git experience preferred</li></ul>

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