Expertise in developing Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) solutions, including experience with transformer models (e.g., BERT, GPT, T5). • Proficiency in developing Natural Language Processing (NLP) solutions, leveraging state-of-the-art deep learning architectures. • Expert-level knowledge of Python programming, along with experience in production-level Python scripting, API development, and coding. • Experience with Python-based frameworks such as FastAPI, Streamlit, and others. • Experience in working on Linux environments, including shell scripting. • Hands-on experience with SQL ecosystems and proficiency in working with data retrieval systems like Solr in Python. • Strong knowledge of statistical modeling and the ability to apply statistical techniques to analyze datasets. • Experience with Cloud Native technologies from Azure and AWS, including services such as Cognitive Search, Form Recognizer, and related AI offerings. • Solid understanding of computer science fundamentals (data structures, algorithms, operating systems, databases). • Good communication and organizational skills with a focus on detail, especially when working across teams of engineers, data scientists, and product designers. • Excellent problem-solving skills, with a strong attention to detail and the ability to thrive in a fast-paced, distributed technical environment. • Passionate about emerging technologies and AI trends, with a strong drive for continuous innovation and improvement. • Self-motivated, able to manage priorities independently while working on multiple projects concurrently Show more Show less

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

Role & responsibilities Cold callings, Lead generation, validation, and database maintenance in line with the firms strategy and services and product offerings Carving out am effective sales outreach plan in conjunction with the sales and delivery teams Outreach to new prospects through emails, calls, and social media with a targeted pitch addressing their actual painpoints (this would entail thorough research on the prospect beforehand) Relationship management for existing clients and warm prospects through planned, meticulous follow-ups Provide analytical support to the sales team and all pertinent MIS requirements Perform market research, competitor analysis, market sizing etc. for our products and services Preparing meeting packs for the client meetings Preferred candidate profile Strong understanding of the financial services and risk management industry Sharp problem-solving and analytical skills Excellent interpersonal and communication skills Adept at working with unstructured data to derive actionable insights expertise in using MS Office suite Self-starter with the ability to work effectively with minimal supervision Hands-on experience with various lead generation & qualification processes Technology experience, especially in effectively using Sales CRM and related tools and processes Comfortable in working across geographies i.e. MENA, USA, EU, APAC Flexible to work in US Shift and to travel outside Pune. Willingness to walk extra mile to deliver superlative outcomes

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & Optimization: Design, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques Implementation: Identify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge Sharing: Work with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management Compliance: Partner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional Collaboration: Collaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance Monitoring: Track the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder Communication: Present model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational Background: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience: 6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical Proficiency: Strong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical Thinking: Exceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning Expertise: Solid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database Knowledge: Proficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective Communication: Strong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders.

Job Summary: Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk, Fair Lending and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio. Job Description: - Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory. - Performing these activities on the MRM framework for corporate BASEL and IFRS9 models. - Lead credit scoring modelling exercise with applicable compliance to regulations. - Validating Fair Lending Models and suggesting recommendations for enhancements. - Implementation and enhancement of ECL models based on internal enhancements, BASEL or Saudi Central Bank regulatory stipulation. - Working closely with BA's and system owners for model development. - Strong understanding of data analytics and enterprise-level data architecture, which is used to consolidate model development and model monitoring information. - Support business reporting and analytics function in generating bespoke reports from credit approver and rating system. Key Requirements: - 3+ Years of experience in model development, model validation and model management. - Understanding of Stress testing/ sensitivity testing - Good Understanding of Fair Lending models/ ML Model techniques and tests - Experience in risk requirements as related to scorecards and IFRS9/ CECL/ HMDA - Fair Lending. - Strong understanding of credit risk and model development/validation. - In-depth knowledge of model development and validation, including data extraction and pre-processing, modular model development, user acceptance testing and model performance assessments of: - IFRS9 models: staging, PD, EAD, LGD - Risk scorecards and frameworks - Large corporates, Mid-market and SME portfolios. - Credit decisioning and Early Warning Risk Models - Good programming skills in Python. Transferrable knowledge from R or SAS. - Knowledge of SAS EG and ECL will be an added advantage.

Education Qualification : Students pursuing final year or freshers with B.Tech, MBA, BBA, and B.Com backgrounds. Role Type : Internship for 6 months. Post-internship, interns will be given a full-time offer based on performance. Job Description : We are looking for Presales Interns who will be responsible for working in the presales team on lead generation, outreach, marketing, and franchise activities. He/she would also be responsible for market research, competitor analysis, market sizing, PowerPoint presentation preparation for meetings, etc. Responsibilities: - Lead generation, validation, and database maintenance align with the firm's strategy, services, and product offerings. - Carving out an effective sales outreach plan with the sales and delivery teams. - Outreach to new prospects through emails, calls, and social media with a targeted pitch addressing their actual pain points (this would entail thorough research on the prospect beforehand). - Relationship management for existing clients and warm prospects through planned, meticulous follow-ups. - Provide analytical support to the sales team and all pertinent MIS requirements. - Perform market research, competitor analysis, market sizing, etc., for our products and services. - Preparing meeting packs for client meetings. Desired Skills : - Understanding of the financial services and risk management industry. - Sharp problem-solving and analytical skills. - Excellent interpersonal and communication skills. - Adept at working with unstructured data to derive actionable insights - expertise in using MS Office suite. - Self-starter with the ability to work effectively with minimal supervision. - Hands-on experience with various lead generation & qualification processes. - Technology experience, especially in effectively using Sales CRM and related tools and processes. - Comfortable working across geographies, i.e., MENA, USA, EU, APAC. - Flexible to work in various shifts, i.e., MENA, USA, EU, APAC. - Willingness to walk the extra mile to deliver superlative outcomes.

Solytics Partners provide products and services to BFSI and Healthcare firms. We use AI/ML& cutting-edge technology to develop next generation solutions or provide efficient services. We have strong team of PHD's in AI/ML and experts in BFSI, and healthcare industry. Our regulatory compliant solutions and services enable leading corporations and institutions to create and sustain competitive advantage. Location : Pune - Hybrid Education Qualification : B.Tech, MBA, BBA, and B.Com backgrounds. We are looking for a Presales Specialist who will be responsible for working in the presales team on lead generation, outreach, marketing, and franchise activities. He/she would also be responsible for market research, competitor analysis, market sizing, PowerPoint presentation preparation for meetings etc. Responsibilities : - Lead generation, validation, and database maintenance in line with the firm's strategy and services and product offerings - Carving out am effective sales outreach plan in conjunction with the sales and delivery teams - Outreach to new prospects through emails, calls, and social media with a targeted pitch addressing their actual pain points (this would entail thorough research on the prospect beforehand) - Relationship management for existing clients and warm prospects through planned, meticulous follow-ups - Provide analytical support to the sales team and all pertinent MIS requirements - Perform market research, competitor analysis, market sizing etc. for our products and services - Preparing meeting packs for the client meetings Desired Skills : - Strong understanding of the financial services and risk management industry - Sharp problem-solving and analytical skills - Excellent interpersonal and communication skills - Adept at working with unstructured data to derive actionable insights - expertise in using MS Office suite - Self-starter with the ability to work effectively with minimal supervision - Hands-on experience with various lead generation & qualification processes - Technology experience, especially in effectively using Sales CRM and related tools and processes - Comfortable in working across geographies i.e. EU,APAC - Flexible to work in various shifts EU, APAC. - Willingness to walk extra mile to deliver superlative outcomes.

We are looking for a Presales Specialist who will be responsible for working in the presales team on lead generation, outreach, marketing, and franchise activities. He/she would also be responsible for market research, competito r analysis, market sizing, power point presentation preparation for meetings etc. Responsibilities Lead generation, validation, and database maintenance in line with the firms strategy and services and product offerings Carving out am effective sales outreach plan in conjunction with the sales and delivery teams Outreach to new prospects through emails, calls, and social media with a targeted pitch addressing their actual painpoints (this would entail thorough research on the prospect beforehand) Relationship management for existing clients and warm prospects through planned, meticulous follow-ups Provide analytical support to the sales team and all pertinent MIS requirements Perform market research, competitor analysis, market sizing etc. for our products and services Preparing meeting packs for the client meetings Desired Skills Strong understanding of the financial services and risk management industry Sharp problem-solving and analytical skills Excellent interpersonal and communication skills Adept at working with unstructured data to derive actionable insights expertise in using MS Office suite Self-starter with the ability to work effectively with minimal supervision Hands-on experience with various lead generation & qualification processes Technology experience, especially in effectively using Sales CRM and related tools and processes Comfortable in working across geographies i.e. MENA, USA, EU, APAC Flexible to work in various shifts i.e. MENA, USA, EU, APAC Willingness to walk extra mile to deliver superlative outcomes

We are looking for passionate Presales Specialists to join our dynamic team. The ideal candidate will be responsible for Cold callings, lead generation, outreach, marketing initiatives, and supporting franchise activities. You’ll work closely with sales and delivery teams to drive strategic initiatives across various geographies. Markets & Experience APAC : 1-5yrs US : 1- 5 yrs (Requires night shift) We are actively hiring for immediate joiners who are open to working from our Pune office . Note: The Final round will be a direct interview with leadership. Key Responsibilities Lead generation, Cold calling, validation, and database management aligned with the firm’s offerings Design effective sales outreach strategies in collaboration with the sales and delivery teams Engage new prospects via calls, emails, and social media with personalized, research-based pitches Maintain relationships with existing clients and warm leads through structured follow-ups Support sales with analytics and maintain all relevant MIS reports Conduct thorough market research, competitor analysis, and market sizing Prepare impactful presentations and meeting packs for client interactions Desired Skills & Qualifications Solid understanding of the financial services and risk management industries Strong problem-solving and analytical skills Excellent communication and interpersonal abilities Comfortable analyzing unstructured data and extracting insights using MS Office Experience with sales CRM tools and lead qualification processes A self-starter who can work independently with minimal supervision Prior experience in outreach across geographies : MENA, USA, EU, APAC Willingness to work in various time zones and shifts as required Go-getter attitude and a commitment to deliver outstanding results Apply only if you're open to working from our Pune office (Reach out at aishwarya.a@solytics-partners.com) We're excited to meet candidates who are eager to grow and make an impact! Show more Show less

3 to 5 years of experience in data science, analytics, or a related role with a focus on AML and fraud detection. Proficiency in R and Python. Experience with data analysis tools and techniques. Familiarity with machine learning algorithms and statistical models. Strong analytical and problem-solving skills with the ability to interpret complex data and make data-driven decisions. Domain and practical knowledge on Fraud / AML. Relevant certifications in AML, Fraud Detection, or Data Science. Knowledge of big data technologies and platforms. Familiarity with the financial services industry and its regulatory environment. Show more Show less

About the Company: We are seeking a skilled and proactive Business Analyst with 5+ years of experience in BFSI/ Model Risk Management /quantitative risk domains. The candidate will work closely with model validation teams, risk managers, and IT to ensure compliance and streamline MRM processes. About the Role: The candidate will work closely with model validation teams, risk managers, and IT to ensure compliance and streamline MRM processes. Responsibilities: Lead requirement gathering, analysis, and documentation for MRM processes Manage end-to-end model lifecycle governance – from onboarding to decommissioning Define and implement BA frameworks, templates, and process flows Collaborate with Risk, Quant, Compliance, and Tech teams to ensure model compliance and audit readiness Manage and mentor junior BAs and assign project tasks Drive UAT planning and coordinate business testing activities Present reports and process enhancements to senior stakeholders and leadership Qualifications Bachelor’s degree in Computer Science, IT, Statistics, Mathematics, Engineering, Economics, or a related field. Required Skills 5+ years of Business Analyst experience, preferably in BFSI or risk domain Strong experience in model risk governance and regulatory frameworks Proficiency in SQL, Power BI, Excel (advanced), Power Automate Good exposure to Python for data analysis or risk modeling (bonus) Excellent leadership, documentation, and stakeholder management skills Experience in leading BA teams and setting up business processes Knowledge of tools like JIRA, Confluence, Visio, Lucid chart. Preferred Skills Good exposure to Python for data analysis or risk modeling (bonus) Show more Show less

About Us: Solytics Partners provide products and services to BFSI and Healthcare firms. We use AI/ML&cutting-edge technology to develop next generation solutions or provide efficient services. We have a strong team of PHDs in AI/ML and experts in BFSI, and healthcare industry. Our regulatory compliantsolutions and servicesenable leading corporations and institutions to create and sustain competitive advantage. Job Summary: The role of a Functional Business Analyst in the Model Validation Unit is to translate complex business concepts into system and process requirements that align with regulatory standards and organizational priorities. This includes ensuring smooth implementation of IT-enabled solutions, providing post-go-live and BAU support, and helping create a robust governance framework for the end-to-end lifecycle of models used in the bank. Key Responsibilities: Functional Areas Model Inventory Management: Build and maintain a comprehensive inventory of all models used within the bank, detailing their objectives, data sources, and stakeholders. Validation Framework & Workflow Implementation: Develop and manage standardized workflows for model validation, incorporating rigorous testing and multi-stage approvals. Performance Monitoring & Issue Tracking: Enable real-time monitoring of model performance, flagging anomalies and tracking resolution progress with proper reporting. Documentation & Central Repository Management: Set up a central repository to store model-related documentation, historical data snapshots, and validation reports. Version Control & Auditability: Ensure proper versioning of models with detailed logs to support traceability, audits, and governance. Collaboration Platform: Provide a unified platform for seamless collaboration between data scientists, engineers, and business teams during the model lifecycle. Transparency & Regulatory Compliance: Maintain audit trails and ensure all model-related activities comply with internal and external regulatory requirements. Business Analyst Responsibilities Requirement Analysis & Process Design: Capture business requirements accurately, design TO-BE processes, and eliminate redundancies to ensure cost-effective and efficient solutions. Functional Solution Definition: Collaborate with vendors to define and finalize functional solutions that align with business needs and regulatory expectations. Quality Management & Delivery Certification: Manage UAT processes, prepare comprehensive test plans, and ensure bug-free, high-quality releases with appropriate system and operational controls. Production & BAU Support: Provide ongoing functional support, analyze production issues, manage enhancements, bug fixes, UAT, deployment, and reporting. Key Requirements: 4 to 8 years of experience, ideally with exposure to: Model Governance / Validation workflows Credit/Market Risk Models Workflow-driven applications and Data Lake systems Banking applications with regulatory and risk focus Strong analytical, documentation, and communication abilities Understanding of banking domains: Credit Risk, Market Risk, Rating Models Experience with platforms like IBM Cloud Pak for Data, Solytics Nimbus (preferred) Familiarity with tools like Autosys, TNG Vendor coordination and delivery management Knowledge of SDLC, STLC, project management, and performance testing concepts Show more Show less

We are seeking a skilled QA Automation Engineer with a strong background in Python and hands-on experience with Selenium. As a QA Automation Engineer, you will be responsible for designing, developing, and maintaining automated test scripts to ensure the quality and reliability of our software products. Responsibilities:- Develop and maintain automated test scripts using Python and Selenium. Strong understanding Behavior driven testing framework (Behave) Design and implement test automation frameworks and infrastructure. Collaborate with cross-functional teams to understand requirements and ensure test coverage. Execute automated test scripts and analyze test results to identify defects and performance issues. Investigate and debug test failures, track issues, and collaborate with the development team to resolve them. Continuously improve testing processes and strategies to optimize test efficiency and effectiveness. Stay up-to-date with industry trends and best practices in QA automation. Requirements:- • Strong proficiency in Python programming language. • Strong experience in Object Oriented Programming in Python • Must have experience in Behave driven testing in python. • Hands-on experience with Selenium WebDriver for web application testing. • Solid understanding of software testing principles, methodologies, and techniques. • Experience in designing and implementing test automation frameworks. • Strong analytical and problem-solving skills to identify and troubleshoot issues. • Proficiency in using version control systems, such as Git, for test script management and collaboration. • Experience in API testing and familiarity with tools like Postman or SoapUI. • Familiarity with continuous integration and continuous delivery (CI/CD) processes and tools like Jenkins or CircleCI. • Knowledge of database testing principles and experience in writing and executing SQL queries. • Understanding of web technologies and protocols (HTTP, REST, XML, JSON) for testing web services. • Familiarity with performance testing tools like JMeter or Gatling. • Experience with test management and defect tracking tools, such as Jira or TestRail. • Knowledge of agile software development practices and participation in agile ceremonies. • Familiarity with cloud platforms, such as AWS or Azure, for executing tests in a cloud environment.

Job Title: Business Analyst - SME Location & Timings: Mumbai- work from office Education Qualification: Bachelor’s/ Master’s degree in engineering, statistics, computer science and related fields. Job Description: The role of a Functional Business Analyst in the Model Validation Unit is to translate complex business concepts into system and process requirements that align with regulatory standards and organizational priorities. This includes ensuring smooth implementation of IT-enabled solutions, providing post-go-live and BAU support, and helping create a robust governance framework for the end-to-end lifecycle of models used in the bank. Responsibilities: Functional Areas Model Inventory Management: Build and maintain a comprehensive inventory of all models used within the bank, detailing their objectives, data sources, and stakeholders. Validation Framework & Workflow Implementation: Develop and manage standardized workflows for model validation, incorporating rigorous testing and multi-stage approvals. Performance Monitoring & Issue Tracking: Enable real-time monitoring of model performance, flagging anomalies and tracking resolution progress with proper reporting. Documentation & Central Repository Management: Set up a central repository to store model-related documentation, historical data snapshots, and validation reports. Version Control & Auditability: Ensure proper versioning of models with detailed logs to support traceability, audits, and governance. Collaboration Platform: Provide a unified platform for seamless collaboration between data scientists, engineers, and business teams during the model lifecycle. Transparency & Regulatory Compliance: Maintain audit trails and ensure all model-related activities comply with internal and external regulatory requirements. Business Analyst Responsibilities: Requirement Analysis & Process Design: Capture business requirements accurately, design TO-BE processes, and eliminate redundancies to ensure cost-effective and efficient solutions. Functional Solution Definition: Collaborate with vendors to define and finalize functional solutions that align with business needs and regulatory expectations. Quality Management & Delivery Certification: Manage UAT processes, prepare comprehensive test plans, and ensure bug-free, high-quality releases with appropriate system and operational controls. Production & BAU Support: Provide ongoing functional support, analyze production issues, manage enhancements, bug fixes, UAT, deployment, and reporting Desired Skills: 4 to 8 years of experience, ideally with exposure to: Model Governance / Validation workflows. Credit/Market Risk Models. Workflow-driven applications and Data Lake systems Banking applications with regulatory and risk focus . Strong analytical, documentation, and communication abilities Understanding of banking domains: Credit Risk, Market Risk, Rating Models Experience with platforms like IBM Cloud Pak for Data, Solytics Nimbus (preferred). Familiarity with tools like Autosys, TNG. Vendor coordination and delivery management. Knowledge of SDLC, STLC, project management, and performance testing concepts. If Interested, Please share your resume at aayush.kumar@solytics-partners.com Show more Show less

All candidates must complete a pre-screening assessment to be considered for this role. ➡️ Click here to take the assessment: https://coderbyte.com/sl-candidate?promo=solyticspartnersllc-wvktt:qa-manual-r2luo6o0zb&invb=ravibanswal Note: Candidates who complete this assessment will be shortlisted for the next round of interviews. Strong programming skills in Python with solid OOP concepts Experience with Behave framework for BDD testing Hands-on knowledge of Selenium WebDriver API Testing using Postman or SoapUI Experience with SQL and database validation Familiarity with CI/CD tools like Jenkins or CircleCI Experience using Git for version control Knowledge of HTTP, REST, XML, JSON Exposure to Jira , TestRail , or other defect/test management tools Familiarity with **JMeter Show more Show less

Job Title: Business Analyst - SME Experience: 4 to 8 years of experience Location & Timings: Kanjurmarg, Mumbai - work from office Education Qualification: Bachelor’s/ Master’s degree in engineering, statistics, computer science and related fields. Job Descriptions: The role of a Functional Business Analyst in the Model Validation Unit is to translate complex business concepts into system and process requirements that align with regulatory standards and organizational priorities. This includes ensuring smooth implementation of IT-enabled solutions, providing post-go-live and BAU support, and helping create a robust governance framework for the end-to-end lifecycle of models used in the bank. Responsibilities: Functional Areas • Model Inventory Management: Build and maintain a comprehensive inventory of all models used within the bank, detailing their objectives, data sources, and stakeholders. • Validation Framework & Workflow Implementation: Develop and manage standardized workflows for model validation, incorporating rigorous testing and multi-stage approvals. • Performance Monitoring & Issue Tracking: Enable real-time monitoring of model performance, flagging anomalies and tracking resolution progress with proper reporting. • Documentation & Central Repository Management: Set up a central repository to store model-related documentation, historical data snapshots, and validation reports. • Version Control & Auditability: Ensure proper versioning of models with detailed logs to support traceability, audits, and governance. • Collaboration Platform: Provide a unified platform for seamless collaboration between data scientists, engineers, and business teams during the model lifecycle. • Transparency & Regulatory Compliance: Maintain audit trails and ensure all model-related activities comply with internal and external regulatory requirements. Business Analyst Responsibilities: • Requirement Analysis & Process Design: Capture business requirements accurately, design TO-BE processes, and eliminate redundancies to ensure cost-effective and efficient solutions. • Functional Solution Definition: Collaborate with vendors to define and finalize functional solutions that align with business needs and regulatory expectations. • Quality Management & Delivery Certification: Manage UAT processes, prepare comprehensive test plans, and ensure bug-free, high-quality releases with appropriate system and operational controls. • Production & BAU Support: Provide ongoing functional support, analyze production issues, manage enhancements, bug fixes, UAT, deployment, and reporting. Desired Skills: • 4 to 8 years of experience, ideally with exposure to: Model Governance / Validation workflows Credit/Market Risk Models o Workflow-driven applications and Data Lake systems Banking applications with regulatory and risk focus. • Strong analytical, documentation, and communication abilities • Understanding of banking domains: Credit Risk, Market Risk, Rating Models • Experience with platforms like IBM Cloud Pak for Data, Solytics Nimbus (preferred) • Familiarity with tools like Autosys, TNG • Vendor coordination and delivery management • Knowledge of SDLC, STLC, project management, and performance testing concept If Interested, Please share your resume at aayush.kumar@solytics-partners.com