Global Market Strategist

Investment Management

Team will mainly perform research, developing valuation frameworks across multiple asset class, work on cross-asset allocation models and providing a data driven decision making framework to support investment strategies. Requirements Exposure to multiple asset classes Work on macro commentary, strategies and create systems, frameworks and analytics to analyse portfolios and various market scenarios. Track events and their impacts on positioning and asset class choices Create data driven decision making frameworks for valuations and cross-asset allocation. Analyse and interpret large and complex data sets to identify trends and patterns that can inform investment decisions.

Fundamental Research

Financial Research

Investment Research produces original, fundamental research and analysis of industries, companies and economies. Research teams continually identify and analyze financial information, strategic issues and trends that affect companies, industries and markets on a regional and global scale. Role- Track news flows and sell-side research views, cover results, support detailed modelling of company financials, and prepare investment write-ups/ presentations. Conduct in-depth benchmarking of valuation and operational metrics, sensitivity and scenario analysis.

Data Science/Machine Learning Engineer

Technology

Our client is a Investment Management firm and its ecosystem of trades, prices, and business activity data provides a rich opportunity set to apply big data and machine learning techniques to optimize one of the world's most complex and sophisticated financial institutions. Below are the areas where they use lot of ML Techniques : -The volume of data requires anomaly detection algorithms to automatically identify erroneous price or trade information. - Other machines are required to extract the complex interaction between trade structures and the resulting liquidity impacts as the banks systems efficiently fund risks and obfuscate the direct drivers - Forefront of a data-driven initiative to optimize decision making across multiple asset classes. You may be building a chatbot that uses Bayesian inference and Natural Language Processing to suggest potential trades, or designing metrics that analyze inquiry and trading activity to enhance client relationships. Responsibilities and Duties : - Writing models to detect anomalies in structured datasets. - Writing algorithms to learn the signals and interactions between different data streams - Working on cutting edge problems in machine learning, and distributed computing paradigms The problems that they work on extend across big data - implementation stack to Analytics-at-scale. While not limited to, the analytical models rely heavily on : - Bayesian inference, - Time series and behavior modeling, - Link and graph analysis, - Text mining and NLP. - Stochastic math - Compute environment is also massive, set up on a HADOOP cluster, and also frequently get into - Building custom YARN apps - Writing raw Map reduce and Spark jobs - Designing Hbase and other big data stores - Architecting and building large scale systems - Writing highly optimized and scalable production jobs Qualifications and Skills : - The role requires an advanced degree (Masters/ PhD strongly preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or related quantitative disciplines) - Candidates looking from Tier 1 Engineering Colleges. - Basic applied statistics, machine learning techniques (supervised / unsupervised techniques) - Strong data structures and algorithms - Strong programming skills in at least one programming language (R/ python / java / c++) - Strong problem and analytical solving - Strong work ethic, self-driven, ownership, collaborative Work Experience : Over all 1 to 10 years work experience with minimum 1 Year of Data Science/Machine Learning is mandatory

Total Rewards- AVP

Analytics

Top Investment Bank is looking to hire potential candidate for their Total rewards function. Responsibilities Develop and demonstrate good knowledge of Total Rewards function (Compensation, Benefits & Wellness) Compensation Support the overall planning and execution of Year End (YE) Compensation exercise Provide Year End reporting support & data management Provide support for Compensation projects Provide Market Intelligence. Benefits & Wellness Planning and executing employee benefits and wellness initiatives Translate proposed initiatives in physical, mental, social, financial wellbeing into executable programs, annual priorities and targets Adhoc projects to enhance employee experience related to Total Reward

Software Engineer

Technology

Our Client is an Asset Management Firm, which has a very strong engineering team which builds massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . We are looking for a highly motivated and technically savvy candidate in Java/C++/Python with strong data structure and algorithm for the core engineering team of the firm. Participate in all aspects of the development lifecycle coupled with heavy interaction with Digital Product Manager/Owner, Tester, QA and Deployment Team. Work with cloud native stack, build on AWS, use technologies like Kubernetes and Serverless Responsibilities and Duties : Design, build and maintain complex, scalable, low latency and high capacity distributed software systems in Python/C++/Java Qualifications and Skills : Bachelors or Mastersdegree in computer science or engineering would be ideal. We are also open to those with relevant technical experience in sectors like telecom. Industry experience, working on high - performance, high - availability, distributed systems Broad knowledge of Java/C++ and programming concepts (primarily on Linux) Strong knowledge of data structures, algorithms and design patterns Experience in load testing and performance optimizations Strong time management skills and the ability to multi - task Strong written and verbal communication skills and ability to work in a team

Analyst - Business Development Asset Management

Financial Research

One of the top asset management firm is looking to hire Business Development specailist. Build Strong relationship with investors Develop asset class knowledge Prepare marketing materials and review materials for client and prospect interactions Coordinate the distribution of white papers, event invites, webinars, etc. Complete assigned sections of Requests for Proposal/Information and Due Diligence Questionnaires and review in entirety before submission

Structuring - Vice President/MD

Quantitative Finance

Looking for someone who comes with a combination of Finance ( Global Markets ) & Technology ( Coding / Data Structure ). This is a role with a Global Bank and it is based out of Mumbai. Roles & Responsibilities are listed below: Lead a team to Price exotic derivatives; where you will need to think of a combination of building blocks to get the desired payout. (Ideation, pricing and execution) Work on automating pricing to increase the business flow being covered Initially, the main asset would be FX, Rates to start with but will cover other assets as well. Build tools/do analysis that helps the team to come up smarter ideas based on a client's needs or makes some of the repetitive tasks more efficient. We are interested in candidates with Strong understanding of Structured Product market. Good market knowledge to know what competitors are offering now. Strong leadership / people management skills Education: MBA/MS/M Tech/BE/B Tech

Senior Analyst - Corporate Finance

Finance

Client - A Global Investment Management firm. Role - Senior Analyst - Finance POSITION SUMMARY The role is responsible for overseeing and providing ongoing support for all the finance operations and activities for the Gurugram entity. OBJECTIVES OF THIS ROLE: Financial reporting under IND AS and US GAAP. Cash flow management. Maintain internal financial controls and perform variance analysis. Interface with auditors. Approval and payment processing. Manage direct and indirect tax. Invoice preparation. MIS preparation. RESPONSIBILITIES: Accurate and timely preparation and submission of financial reports in SAP (S4HANA). Ensure internal financial controls are maintained, standard operating procedures are followed, and ongoing adherence with corporate policies. Compliance with direct and indirect tax requirements. Manage accounts payable and ensure timely payments to vendors. Liquidity management including deployment of surplus cash into approved schemes. Maintain relationships with banks. Generate invoices and track collections. Regular STPI filings. Maintain control over Fixed Assets and proper depreciation. Work closely with regional and global finance teams for monthly, quarterly and annual financial and tax reporting. Maintain the privacy of financial information. Applicant Qualification & Skills: Qualified Chartered Accountant Expertise in Ind AS & US GAAP Expertise in Tax / Taxation - TDS / GST calculations.