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Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

Role Type: Individual Contributor

Work Experience: 10+ years

About TradeLab

TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to redefine digital broking and empower clients in the capital markets ecosystem.

Role Overview

We are seeking an accomplished and dynamic Sales Manager based in Mumbai to lead TradeLab’s expansion across Western India. This is a high-impact, hunter-focused role tasked with building new client relationships with discount brokers, full-service brokers, banks, and fintech platforms. The role involves minimal account nurturing, with a primary focus on prospecting, pipeline development, and closing high-value deals. The ideal candidate will bring deep industry expertise, an established network in the capital markets, broking, and fintech sectors, and a proven ability to navigate complex sales cycles with senior stakeholders.

Key Responsibilities

· New Business Development: Drive aggressive acquisition of new clients across Western India by targeting entities aligned with TradeLab’s Ideal Customer Profile (ICP), including discount brokers, full-service brokers, banks, and fintech platforms.

· Pipeline Management: Build, manage, and maintain a robust sales pipeline by prospecting, qualifying leads, and advancing opportunities through discovery, demonstrations, proposal creation, negotiation, and deal closure.

· End-to-End Sales Ownership: Lead complex, enterprise-grade sales cycles from initial outreach to contract signing, engaging senior stakeholders such as CEOs, CTOs, CIOs, and Heads of Broking.

· Solution Positioning: Collaborate closely with solutions architects and product teams to tailor and position TradeLab’s modular offerings (ORMS, MetaTrader integrations, PULSE AI, CRM/LPA solutions) to address specific client pain points and objectives.

· Regulatory Expertise: Demonstrate a deep understanding of regulatory frameworks (e.g., SEBI guidelines, algo trading controls, T+0 settlement workflows) and articulate their business value to position TradeLab’s solutions as compliance-driven and operationally efficient.

· Brand Representation: Act as TradeLab’s ambassador at industry events, trade shows, webinars, and client meetings to enhance brand visibility and establish thought leadership in the capital markets ecosystem.

· Market Feedback: Provide actionable, structured insights from client interactions to influence product roadmaps, go-to-market strategies, and solution enhancements.

· CRM Management: Actively maintain and update customer relationship management (CRM) systems to ensure accurate tracking of leads, opportunities, and client interactions, enabling data-driven decision-making and forecasting.

Must-Have Qualifications

· Experience: 10+ years of sales experience in capital markets technology, trading infrastructure, or fintech SaaS, with a minimum of 5–8 years focused on enterprise or mid-market financial institutions.

· Network: Extensive, established connections with decision-makers (CxOs, Tech Heads, Risk Committees) at brokers, banks, and fintech platforms across Western India.

· Proven Track Record: Demonstrated success in consistently meeting or exceeding half-yearly and yearly sales targets in a high-pressure, target-driven environment, with a focus on hunting and closing new business.

· Stakeholder Engagement: Exceptional ability to engage both business and technical stakeholders, translating complex technical solutions into compelling business value propositions.

· CRM Expertise: Hands-on experience in maintaining and leveraging CRM platforms (e.g., Salesforce, HubSpot, or similar) to manage pipelines, track client interactions, and generate accurate sales forecasts.

· Communication Skills: Outstanding verbal and written communication, presentation, and negotiation skills, with the ability to tailor messaging to diverse audiences.

· Self-Starter Mindset: Ability to thrive as an individual contributor in a fast-paced, high-pressure environment, demonstrating initiative, resilience, and accountability.

· High-Pressure Performance: Proven ability to perform effectively in high-stakes, deadline-driven settings, maintaining composure and delivering results under tight timelines.

Good-to-Have Skills

· Platform Exposure: Familiarity with broking platforms, Order Management Systems (OMS), Risk Management Systems (RMS), or API-driven fintech products.

· Technical Knowledge: Working knowledge of algorithmic trading, risk management systems, and compliance workflows (e.g., SEBI regulations, T+0 processes).

· Consultative Selling: Experience with solution-oriented or consultative sales methodologies, focusing on addressing client needs through tailored solutions.

Why Join TradeLab?

· Innovative Environment: Join a fast-growing fintech leader at the forefront of transforming the Indian and global brokerage ecosystem with cutting-edge technology.

· Ownership & Impact: Take full ownership of a high-potential territory (Western India) with direct visibility to senior leadership and the opportunity to shape regional growth.

· Cutting-Edge Solutions: Gain hands-on experience with next-generation trading infrastructure, AI-driven platforms, and compliance-focused solutions.

· Growth Opportunities: Thrive in an entrepreneurial role with significant learning potential, professional development, and a steep growth trajectory.

JOB DETAILS:

Job Role: Investment Manager

Industry: Banking and Finance

Working Day: 6

Work Mode: ONSITE

Salary: Best in Industry

Experience: 4-7 years

Location: Mumbai

Review Criteria:

• Strong investor management profile
• Must have 4+ years of fundraising experience startups, AIFs, or investment products), investor management and network building
• Must be proficient in pitching investment opportunities and onboarding investors
• Must have experience conducting investor meetings & presentations
• Must have experience achieving revenue targets
• Must have experience representing the company at networking events
• Must understand startup valuation basics, portfolio reporting, investment products.
• Must prepare investment proposals, performance reports, and KPIs.
• No strict requirement, but finance background preferred.
• Must have high ownership and target-driven mindset.

Preferred:

• Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.
• Preferred (Industry): Events industry
• Preferred (Work background): Experience in start-up funding events & roadshows

Job Specific Criteria:

• CV Attachment is mandatory
• How many years of experience do you have in investor management?
• Are you comfortable working 6 days from Mumbai office?
• Current company?
• Current Location?

Role & Responsibilities:

About the Role:

We are seeking a highly driven and strategic Manager - Investment (Start-up Fundraising) to lead fundraising, manage investor relationships, and drive portfolio growth. The role requires a mix of financial expertise, investor engagement, and strong networking ability to achieve AUM growth and revenue targets. The ideal candidate will have proven experience in capital raising, managing HNIs/Family Offices/Venture Partners, and expanding investor networks.

Key Responsibilities:

Fundraising & AUM Growth-

• Drive growth in Assets Under Management (AUM) by meeting set targets.
• Achieve quarterly and annual revenue targets through investor onboarding and capital deployment.

Investor Relationship Management-

• Research, identify, and connect with high-potential investors (HNIs, Family Offices, Institutions).
• Nurture relationships with inactive investors and convert them into active contributors.
• Build long-term trust by ensuring transparency, timely updates, and strong portfolio communication.
• Proactively outreach and pitch company’s value proposition and curated start-up campaigns.
• Seamlessly onboard new investors, ensuring smooth KYC, onboarding, and activation.

Business Development & Conversion-

• Source, qualify, and onboard new investors through referrals, networking, and events.
• Leverage existing investor networks for introductions and referrals.
• Manage pipeline of new investor conversions and ensure smooth onboarding process.

Networking & Outreach-

• Represent the firm in industry events, conferences, and investor summits to expand reach.
• Stay updated on funding trends, investor behavior, and competitive landscape.
• Conduct one-on-one investor meetings to present opportunities and investment strategies.
• Establish strong connections with Venture Partners, Family Offices, and Institutional Investors for strategic collaborations.

Strategic Input & Reporting-

• Prepare and present investment proposals and performance reports.
• Work closely with the investment team to align fundraising strategy with portfolio needs.
• Track KPIs (AUM growth, investor reach-outs, referrals, event participation, conversions, revenue).

Ideal Candidate:

• 4+ years of proven experience in fundraising for start-up.
• Strong investor network with HNIs, Family Offices, and Institutions.
• Track record of achieving AUM/revenue targets and closing investor commitments.
• Exceptional communication, presentation, and relationship-building skills.
• Entrepreneurial mindset, high ownership, and target-driven approach.

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Description:

We are seeking an experienced SAP BRIM - SOM consultant to join our team. The ideal candidate will have a comprehensive understanding of the SAP BRIM - Subscription Order Management (SOM) module along with a strong background in the design, configuration, and support of SAP systems.

Responsibilities:

1. Gather business requirement and implement the SAP BRIM - SOM module based on specific business requirements.

2. Develop end-to-end solutions for the SAP BRIM - SOM platform. This includes creating functional specifications, working with technical teams to develop solutions, and conducting unit and integration testing.

Summary:

Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up the appointments and can clearly communicate the company's brand identity.

• 1+ years of successful experience selling enterprise software products or services
• Identify prospects grow and manage sales pipeline to achieve targets
• Coordinate software demos and service presentations with prospects and internal business development team.
• Experience in market research, data mining and cold calling.
• Generate new potential client through cold calling, social media platforms.
• Communicating with the Organization heads and schedule the appointments for product demo.
• Self-motivated, able to work independently and as a member of a remote team.
• Proven ability to build and manage a sales pipeline and achieve targets
• Market Research to identify new markets and prospects.
• Excellent communication skills (presentation, verbal, and written)
• Demonstrated expertise in building and maintaining client relationships
• Good convincing ability and confident personality.
• Data driven approach towards the sales process.
• Full understanding of the sales process from database generation to fixing the appointments.

• Min 1 year of relevant experience in software/hardware sales
• Strong communication and presentation skills.
• Knowledge of lead generation and email hunting.
• Excellent knowledge of search engines, web analytics and business research tools.
• Adequate knowledge of data collection methods.
• Strong analytical and critical thinking.
• Good working knowledge of MS Word and Excel

• Build enduring relationships with the clients and display an understanding of the client, industry, and business environment.

• Responsible for the P&L of the department.
• Track and review the entire operations process, weighing them against the set business targets in order to determine the effectiveness of any initiatives and implement necessary changes and solutions.
• Ensuring high-quality customer experience with brief understanding and validation to design project development and coordination from concept to execution stages.
• Take complete ownership of projects from start to finish. Manage customer negotiations and payment.
• Work closely with the client and your interior design and execution team to finalize the home design, 3D designs, and GFC (Good for Construction) Ensure the highest level of Design quality along with client satisfaction is maintained.
• Collaborate with the team and be accountable for all deliverables of team members.
• Develop strategic short/ long range plans to ensure on-time project completion.
• Devise project management guidelines, review projects with various stakeholders, coordinate staffing/scheduling, evaluate commercial project contracts, and establish milestones Plan, monitor and analyze key metrics for the day-to-day performance of the operations to ensure efficient and timely completion of projects.
• Collaborate with leadership in the development of performance goals and long-term operational plans.
• Maximize efficiency and productivity through extensive process analysis and interdepartmental collaboration.
• Set strategic goals for operational efficiency and increased productivity such as developing at least 10 vendors in each category and complete their onboarding.
• Hire and grow the team as per the organization's requirements with Human Resources.
• Analyze current operational processes and performance, recommending solutions for improvement.
• Develop, implement, and monitor day-to-day operational systems and processes that provide visibility into goals, progress and obstacles. 
• Build and maintain relationships with all department heads, external partners, and vendors to make decisions regarding operational activity and strategy.
• Devise strategies to ensure the growth of programs enterprise-wide, identifying and implementing process improvements that will maximize output and minimize.
• Uphold local governmental policies and standards, ensuring legislative regulations are followed for all.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint